Gigabyte Technology Co., Ltd. Z370XP SLI
Geekbench ML Score
743
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 16 2024 07:31 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z370XP SLI |
| Motherboard | Gigabyte Technology Co., Ltd. Z370XP SLI-CF |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8400 |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.81 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 3 |
| L1 Data Cache | 32.0 KB x 3 |
| L2 Cache | 256 KB x 3 |
| L3 Cache | 9.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 630 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
330
61.7 IPS |
|
|
Image Classification (F16)
|
100% |
369
69.1 IPS |
|
|
Image Classification (I8)
|
100% |
325
60.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
548
9.15 IPS |
|
|
Image Segmentation (F16)
|
100% |
553
9.23 IPS |
|
|
Image Segmentation (I8)
|
98% |
444
7.41 IPS |
|
|
Pose Estimation (F32)
|
100% |
2050
2.48 IPS |
|
|
Pose Estimation (F16)
|
100% |
2046
2.48 IPS |
|
|
Pose Estimation (I8)
|
100% |
1877
2.27 IPS |
|
|
Object Detection (F32)
|
100% |
310
23.2 IPS |
|
|
Object Detection (F16)
|
100% |
298
22.3 IPS |
|
|
Object Detection (I8)
|
54% |
324
24.2 IPS |
|
|
Face Detection (F32)
|
100% |
797
9.47 IPS |
|
|
Face Detection (F16)
|
100% |
796
9.46 IPS |
|
|
Face Detection (I8)
|
89% |
617
7.34 IPS |
|
|
Depth Estimation (F32)
|
100% |
1563
12.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
1568
12.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
1358
10.5 IPS |
|
|
Style Transfer (F32)
|
100% |
5304
6.98 IPS |
|
|
Style Transfer (F16)
|
100% |
5314
6.99 IPS |
|
|
Style Transfer (I8)
|
98% |
4599
6.05 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1083
38.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1080
38.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
836
29.9 IPS |
|
|
Text Classification (F32)
|
100% |
187
269.4 IPS |
|
|
Text Classification (F16)
|
100% |
304
437.6 IPS |
|
|
Text Classification (I8)
|
98% |
240
344.7 IPS |
|
|
Machine Translation (F32)
|
100% |
433
7.97 IPS |
|
|
Machine Translation (F16)
|
100% |
418
7.70 IPS |
|
|
Machine Translation (I8)
|
70% |
271
4.99 IPS |
