Gigabyte Technology Co., Ltd. Z590M GAMING X
Geekbench ML Score
15368
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | julstr |
| Upload Date | December 29 2024 01:56 AM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z590M GAMING X |
| Motherboard | Gigabyte Technology Co., Ltd. Z590M GAMING X |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 256 KB x 6 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 Ti |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7411
1.39 KIPS |
|
|
Image Classification (F16)
|
100% |
7980
1.49 KIPS |
|
|
Image Classification (I8)
|
100% |
5278
987.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
10536
176.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
10762
179.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
8338
139.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
160255
194.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
160429
194.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
118787
143.8 IPS |
|
|
Object Detection (F32)
|
100% |
3884
290.0 IPS |
|
|
Object Detection (F16)
|
100% |
3970
296.4 IPS |
|
|
Object Detection (I8)
|
56% |
3322
248.0 IPS |
|
|
Face Detection (F32)
|
100% |
23562
280.2 IPS |
|
|
Face Detection (F16)
|
100% |
24378
289.9 IPS |
|
|
Face Detection (I8)
|
89% |
16661
198.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
50616
392.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
50901
394.7 IPS |
|
|
Depth Estimation (I8)
|
94% |
32285
250.4 IPS |
|
|
Style Transfer (F32)
|
100% |
232461
305.8 IPS |
|
|
Style Transfer (F16)
|
100% |
230751
303.5 IPS |
|
|
Style Transfer (I8)
|
98% |
167201
219.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
31197
1.11 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
31765
1.13 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
18975
677.7 IPS |
|
|
Text Classification (F32)
|
100% |
2144
3.08 KIPS |
|
|
Text Classification (F16)
|
100% |
2143
3.08 KIPS |
|
|
Text Classification (I8)
|
98% |
1115
1.60 KIPS |
|
|
Machine Translation (F32)
|
100% |
2958
54.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2929
53.9 IPS |
|
|
Machine Translation (I8)
|
70% |
1444
26.6 IPS |
