Gigabyte Technology Co., Ltd. H410M H V3
Geekbench AI Score
2193
Single Precision Score
2183
Half Precision Score
3756
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | sso7746 |
| Upload Date | December 31 2024 06:15 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i3-10105 CPU @ 3.70GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. H410M H V3 |
| Motherboard | Gigabyte Technology Co., Ltd. H410M H V3 |
| CPU Information | |
|---|---|
| Name | Intel Core i3-10105 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1398
259.9 IPS |
|
|
Image Classification (HP)
|
100% |
1375
255.7 IPS |
|
|
Image Classification (Q)
|
100% |
2432
452.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1098
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1090
17.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2344
38.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3103
3.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
3097
3.61 IPS |
|
|
Pose Estimation (Q)
|
94% |
6220
7.30 IPS |
|
|
Object Detection (SP)
|
100% |
1255
99.6 IPS |
|
|
Object Detection (HP)
|
100% |
1250
99.1 IPS |
|
|
Object Detection (Q)
|
87% |
2452
196.7 IPS |
|
|
Face Detection (SP)
|
100% |
2013
23.9 IPS |
|
|
Face Detection (HP)
|
100% |
2003
23.8 IPS |
|
|
Face Detection (Q)
|
97% |
5851
69.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3721
28.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3664
28.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
6686
52.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8739
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8764
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
17294
22.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1723
63.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1718
63.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3613
133.8 IPS |
|
|
Text Classification (SP)
|
100% |
2014
2.69 KIPS |
|
|
Text Classification (HP)
|
100% |
2013
2.69 KIPS |
|
|
Text Classification (Q)
|
91% |
1443
1.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
1897
32.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1909
32.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1826
31.5 IPS |
