Gigabyte Technology Co., Ltd. Z690 AORUS ELITE DDR4
Geekbench ML Score
22425
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 15 2024 12:45 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z690 AORUS ELITE DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. Z690 AORUS ELITE DDR4 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600KF |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
10225
1.91 KIPS |
|
|
Image Classification (F16)
|
100% |
11034
2.06 KIPS |
|
|
Image Classification (I8)
|
100% |
9158
1.71 KIPS |
|
|
Image Segmentation (F32)
|
100% |
15279
255.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
15363
256.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
13776
230.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
172029
208.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
168905
204.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
152492
184.7 IPS |
|
|
Object Detection (F32)
|
100% |
6853
511.6 IPS |
|
|
Object Detection (F16)
|
100% |
6907
515.6 IPS |
|
|
Object Detection (I8)
|
56% |
6571
490.5 IPS |
|
|
Face Detection (F32)
|
100% |
31550
375.1 IPS |
|
|
Face Detection (F16)
|
100% |
32297
384.0 IPS |
|
|
Face Detection (I8)
|
89% |
27120
322.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
64252
498.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
62592
485.4 IPS |
|
|
Depth Estimation (I8)
|
94% |
50325
390.3 IPS |
|
|
Style Transfer (F32)
|
100% |
284651
374.4 IPS |
|
|
Style Transfer (F16)
|
100% |
288818
379.9 IPS |
|
|
Style Transfer (I8)
|
98% |
253566
333.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
38991
1.39 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
43783
1.56 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
33777
1.21 KIPS |
|
|
Text Classification (F32)
|
100% |
3290
4.73 KIPS |
|
|
Text Classification (F16)
|
100% |
3276
4.71 KIPS |
|
|
Text Classification (I8)
|
98% |
2045
2.94 KIPS |
|
|
Machine Translation (F32)
|
100% |
4316
79.4 IPS |
|
|
Machine Translation (F16)
|
100% |
4329
79.7 IPS |
|
|
Machine Translation (I8)
|
70% |
2612
48.1 IPS |
