Gigabyte Technology Co., Ltd. H310M S2P 2.0
Geekbench AI Score
1812
Single Precision Score
895
Half Precision Score
1947
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | mellito |
| Upload Date | October 15 2024 08:05 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-9400F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. H310M S2P 2.0 |
| Motherboard | Gigabyte Technology Co., Ltd. H310M S2P 2.0 |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i5-9400F |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1246
231.8 IPS |
|
|
Image Classification (HP)
|
100% |
312
58.0 IPS |
|
|
Image Classification (Q)
|
96% |
1618
302.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
747
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
487
7.89 IPS |
|
|
Image Segmentation (Q)
|
97% |
1254
20.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3626
4.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
3003
3.50 IPS |
|
|
Pose Estimation (Q)
|
87% |
6837
8.08 IPS |
|
|
Object Detection (SP)
|
100% |
1138
90.3 IPS |
|
|
Object Detection (HP)
|
100% |
393
31.2 IPS |
|
|
Object Detection (Q)
|
86% |
1059
85.1 IPS |
|
|
Face Detection (SP)
|
100% |
1175
14.0 IPS |
|
|
Face Detection (HP)
|
100% |
763
9.06 IPS |
|
|
Face Detection (Q)
|
96% |
2292
27.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3823
29.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1272
9.80 IPS |
|
|
Depth Estimation (Q)
|
77% |
3331
26.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8893
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
6944
8.93 IPS |
|
|
Style Transfer (Q)
|
87% |
9611
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1576
58.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1335
49.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1927
71.4 IPS |
|
|
Text Classification (SP)
|
100% |
1250
1.67 KIPS |
|
|
Text Classification (HP)
|
100% |
500
667.8 IPS |
|
|
Text Classification (Q)
|
97% |
340
455.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1268
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
412
7.09 IPS |
|
|
Machine Translation (Q)
|
60% |
1113
24.8 IPS |
