Gigabyte Technology Co., Ltd. H410M S2H V2
Geekbench AI Score
915
Single Precision Score
1041
Half Precision Score
717
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | March 06 2025 12:34 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 630 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. H410M S2H V2 |
| Motherboard | Gigabyte Technology Co., Ltd. H410M S2H V2 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10400 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
377
70.1 IPS |
|
|
Image Classification (HP)
|
100% |
427
79.4 IPS |
|
|
Image Classification (Q)
|
100% |
381
70.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
559
9.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
600
9.72 IPS |
|
|
Image Segmentation (Q)
|
98% |
455
7.40 IPS |
|
|
Pose Estimation (SP)
|
100% |
2189
2.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
3504
4.09 IPS |
|
|
Pose Estimation (Q)
|
97% |
1972
2.31 IPS |
|
|
Object Detection (SP)
|
100% |
453
35.9 IPS |
|
|
Object Detection (HP)
|
98% |
462
36.7 IPS |
|
|
Object Detection (Q)
|
86% |
399
32.1 IPS |
|
|
Face Detection (SP)
|
100% |
918
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
985
11.7 IPS |
|
|
Face Detection (Q)
|
97% |
752
8.96 IPS |
|
|
Depth Estimation (SP)
|
100% |
1641
12.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
1993
15.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
1372
11.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5598
7.20 IPS |
|
|
Style Transfer (HP)
|
100% |
8350
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
4668
6.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1105
40.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1564
57.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
818
30.3 IPS |
|
|
Text Classification (SP)
|
100% |
451
601.4 IPS |
|
|
Text Classification (HP)
|
100% |
295
393.4 IPS |
|
|
Text Classification (Q)
|
97% |
254
340.5 IPS |
|
|
Machine Translation (SP)
|
100% |
470
8.09 IPS |
|
|
Machine Translation (HP)
|
100% |
479
8.25 IPS |
|
|
Machine Translation (Q)
|
70% |
265
4.97 IPS |
