Gigabyte Technology Co., Ltd. Z790 AORUS MASTER X
Geekbench ML Score
21845
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 07 2024 02:59 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z790 AORUS MASTER X |
| Motherboard | Gigabyte Technology Co., Ltd. Z790 AORUS MASTER X |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 48.0 KB x 16 |
| L2 Cache | 2.00 MB x 4 |
| L3 Cache | 36.0 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% |
9641
1.80 KIPS |
|
|
Image Classification (F16)
|
100% |
10376
1.94 KIPS |
|
|
Image Classification (I8)
|
100% |
8815
1.65 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14462
241.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
14298
238.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
13440
224.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
170172
206.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
169714
205.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
152684
184.9 IPS |
|
|
Object Detection (F32)
|
100% |
7237
540.3 IPS |
|
|
Object Detection (F16)
|
100% |
7308
545.6 IPS |
|
|
Object Detection (I8)
|
56% |
6785
506.5 IPS |
|
|
Face Detection (F32)
|
100% |
30561
363.4 IPS |
|
|
Face Detection (F16)
|
100% |
30637
364.3 IPS |
|
|
Face Detection (I8)
|
89% |
24229
288.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
66246
513.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
62563
485.2 IPS |
|
|
Depth Estimation (I8)
|
94% |
50993
395.4 IPS |
|
|
Style Transfer (F32)
|
100% |
285713
375.8 IPS |
|
|
Style Transfer (F16)
|
100% |
284544
374.3 IPS |
|
|
Style Transfer (I8)
|
98% |
231367
304.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
41821
1.49 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
43906
1.57 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
32677
1.17 KIPS |
|
|
Text Classification (F32)
|
100% |
3269
4.70 KIPS |
|
|
Text Classification (F16)
|
100% |
2911
4.18 KIPS |
|
|
Text Classification (I8)
|
98% |
1991
2.86 KIPS |
|
|
Machine Translation (F32)
|
100% |
3928
72.3 IPS |
|
|
Machine Translation (F16)
|
100% |
3994
73.5 IPS |
|
|
Machine Translation (I8)
|
70% |
2430
44.7 IPS |
