Gigabyte Technology Co., Ltd. H110M-S2
Geekbench AI Score
3581
Single Precision Score
3544
Half Precision Score
2701
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | SmartCat |
| Upload Date | March 26 2025 06:54 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1050 Ti |
| 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% |
775
144.1 IPS |
|
|
Image Classification (HP)
|
100% |
1436
267.1 IPS |
|
|
Image Classification (Q)
|
99% |
721
134.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2401
38.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2117
34.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1987
32.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
19555
22.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10670
12.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
16355
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
1122
89.0 IPS |
|
|
Object Detection (HP)
|
100% |
1852
146.9 IPS |
|
|
Object Detection (Q)
|
83% |
1011
81.7 IPS |
|
|
Face Detection (SP)
|
100% |
2254
26.8 IPS |
|
|
Face Detection (HP)
|
100% |
3407
40.5 IPS |
|
|
Face Detection (Q)
|
97% |
2008
23.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7324
56.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
6586
50.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
5908
47.2 IPS |
|
|
Style Transfer (SP)
|
100% |
32191
41.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19515
25.1 IPS |
|
|
Style Transfer (Q)
|
98% |
26500
34.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6874
253.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4983
184.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4599
170.3 IPS |
|
|
Text Classification (SP)
|
100% |
1099
1.47 KIPS |
|
|
Text Classification (HP)
|
100% |
1161
1.55 KIPS |
|
|
Text Classification (Q)
|
97% |
611
818.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2119
36.5 IPS |
|
|
Machine Translation (HP)
|
96% |
2058
35.6 IPS |
|
|
Machine Translation (Q)
|
70% |
989
18.6 IPS |
