Gigabyte Technology Co., Ltd. H510M H
Geekbench AI Score
3288
Single Precision Score
1375
Half Precision Score
3752
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 18 2025 02:16 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-10700F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Education (64-bit) |
| Model | Gigabyte Technology Co., Ltd. H510M H |
| Motherboard | Gigabyte Technology Co., Ltd. H510M H |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10700F |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3094
575.3 IPS |
|
|
Image Classification (HP)
|
100% |
520
96.8 IPS |
|
|
Image Classification (Q)
|
96% |
4304
803.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1584
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
781
12.7 IPS |
|
|
Image Segmentation (Q)
|
97% |
2125
34.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6205
7.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
5348
6.24 IPS |
|
|
Pose Estimation (Q)
|
86% |
10171
12.0 IPS |
|
|
Object Detection (SP)
|
100% |
2905
230.5 IPS |
|
|
Object Detection (HP)
|
100% |
565
44.8 IPS |
|
|
Object Detection (Q)
|
58% |
2529
276.3 IPS |
|
|
Face Detection (SP)
|
100% |
3264
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
1180
14.0 IPS |
|
|
Face Detection (Q)
|
96% |
6527
77.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6088
46.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1967
15.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
8994
71.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12557
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9833
12.6 IPS |
|
|
Style Transfer (Q)
|
87% |
13625
17.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2277
84.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1837
67.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2869
106.3 IPS |
|
|
Text Classification (SP)
|
100% |
1499
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
727
970.5 IPS |
|
|
Text Classification (Q)
|
97% |
466
624.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1968
33.9 IPS |
|
|
Machine Translation (HP)
|
100% |
649
11.2 IPS |
|
|
Machine Translation (Q)
|
68% |
2202
42.5 IPS |
