Gigabyte Technology Co., Ltd. Z370XP SLI
Geekbench ML Score
740
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 01 2025 12:46 PM |
| Views | 7 |
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% |
324
60.6 IPS |
|
|
Image Classification (F16)
|
100% |
344
64.4 IPS |
|
|
Image Classification (I8)
|
100% |
308
57.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
493
8.23 IPS |
|
|
Image Segmentation (F16)
|
100% |
488
8.14 IPS |
|
|
Image Segmentation (I8)
|
98% |
396
6.62 IPS |
|
|
Pose Estimation (F32)
|
100% |
1934
2.34 IPS |
|
|
Pose Estimation (F16)
|
100% |
1927
2.33 IPS |
|
|
Pose Estimation (I8)
|
100% |
1738
2.10 IPS |
|
|
Object Detection (F32)
|
100% |
383
28.6 IPS |
|
|
Object Detection (F16)
|
100% |
387
28.9 IPS |
|
|
Object Detection (I8)
|
54% |
356
26.6 IPS |
|
|
Face Detection (F32)
|
100% |
718
8.54 IPS |
|
|
Face Detection (F16)
|
100% |
704
8.37 IPS |
|
|
Face Detection (I8)
|
89% |
542
6.44 IPS |
|
|
Depth Estimation (F32)
|
100% |
1464
11.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
1472
11.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
1254
9.72 IPS |
|
|
Style Transfer (F32)
|
100% |
5037
6.63 IPS |
|
|
Style Transfer (F16)
|
100% |
5053
6.65 IPS |
|
|
Style Transfer (I8)
|
98% |
4251
5.59 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1007
36.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1007
35.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
759
27.1 IPS |
|
|
Text Classification (F32)
|
100% |
415
596.3 IPS |
|
|
Text Classification (F16)
|
100% |
405
582.3 IPS |
|
|
Text Classification (I8)
|
98% |
230
330.0 IPS |
|
|
Machine Translation (F32)
|
100% |
418
7.70 IPS |
|
|
Machine Translation (F16)
|
100% |
417
7.67 IPS |
|
|
Machine Translation (I8)
|
70% |
258
4.74 IPS |
