Gigabyte Technology Co., Ltd. H510M H V2
Geekbench AI Score
2016
Single Precision Score
1000
Half Precision Score
4219
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | jazamed |
| Upload Date | December 07 2024 08:15 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-11400F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. H510M H V2 |
| Motherboard | Gigabyte Technology Co., Ltd. H510M H V2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1519
282.4 IPS |
|
|
Image Classification (HP)
|
100% |
396
73.6 IPS |
|
|
Image Classification (Q)
|
99% |
4889
911.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
933
15.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
582
9.43 IPS |
|
|
Image Segmentation (Q)
|
98% |
2214
36.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3229
3.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
2362
2.76 IPS |
|
|
Pose Estimation (Q)
|
94% |
13285
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1638
130.0 IPS |
|
|
Object Detection (HP)
|
100% |
480
38.1 IPS |
|
|
Object Detection (Q)
|
86% |
4001
321.6 IPS |
|
|
Face Detection (SP)
|
100% |
2239
26.6 IPS |
|
|
Face Detection (HP)
|
100% |
902
10.7 IPS |
|
|
Face Detection (Q)
|
97% |
5863
69.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4358
33.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1512
11.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
10263
81.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7946
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
6449
8.29 IPS |
|
|
Style Transfer (Q)
|
98% |
11114
14.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1417
52.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1298
47.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2587
95.8 IPS |
|
|
Text Classification (SP)
|
100% |
1218
1.63 KIPS |
|
|
Text Classification (HP)
|
100% |
669
893.5 IPS |
|
|
Text Classification (Q)
|
97% |
1214
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1107
19.1 IPS |
|
|
Machine Translation (HP)
|
100% |
505
8.70 IPS |
|
|
Machine Translation (Q)
|
65% |
1479
29.7 IPS |
