Gigabyte Technology Co., Ltd. H110M-S2
Geekbench AI Score
1488
Single Precision Score
758
Half Precision Score
1772
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | SmartCat |
| Upload Date | March 26 2025 06:43 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-7500 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. H110M-S2 |
| Motherboard | Gigabyte Technology Co., Ltd. H110M-S2-CF |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7500 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1176
218.7 IPS |
|
|
Image Classification (HP)
|
100% |
323
60.0 IPS |
|
|
Image Classification (Q)
|
96% |
1387
258.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
619
10.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
422
6.84 IPS |
|
|
Image Segmentation (Q)
|
97% |
983
16.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2408
2.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
1975
2.30 IPS |
|
|
Pose Estimation (Q)
|
86% |
4185
4.95 IPS |
|
|
Object Detection (SP)
|
100% |
1018
80.8 IPS |
|
|
Object Detection (HP)
|
100% |
376
29.9 IPS |
|
|
Object Detection (Q)
|
58% |
1155
126.2 IPS |
|
|
Face Detection (SP)
|
100% |
1844
21.9 IPS |
|
|
Face Detection (HP)
|
100% |
781
9.28 IPS |
|
|
Face Detection (Q)
|
96% |
3291
39.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2888
22.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1046
8.06 IPS |
|
|
Depth Estimation (Q)
|
78% |
3973
31.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5602
7.20 IPS |
|
|
Style Transfer (HP)
|
100% |
4235
5.44 IPS |
|
|
Style Transfer (Q)
|
87% |
6637
8.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1114
41.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
925
34.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1415
52.4 IPS |
|
|
Text Classification (SP)
|
100% |
840
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
472
629.6 IPS |
|
|
Text Classification (Q)
|
97% |
311
416.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1073
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
411
7.08 IPS |
|
|
Machine Translation (Q)
|
68% |
1214
23.5 IPS |
