Gigabyte Technology Co., Ltd. H81M-S2PV
Geekbench AI Score
1441
Single Precision Score
715
Half Precision Score
1369
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 11 2025 11:40 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-4440 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. H81M-S2PV |
| Motherboard | Gigabyte Technology Co., Ltd. H81M-S2PV |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-4440 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1124
209.0 IPS |
|
|
Image Classification (HP)
|
100% |
283
52.6 IPS |
|
|
Image Classification (Q)
|
96% |
1139
212.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
569
9.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
405
6.57 IPS |
|
|
Image Segmentation (Q)
|
97% |
828
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2365
2.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
1891
2.21 IPS |
|
|
Pose Estimation (Q)
|
86% |
2530
2.99 IPS |
|
|
Object Detection (SP)
|
100% |
1059
84.0 IPS |
|
|
Object Detection (HP)
|
100% |
351
27.8 IPS |
|
|
Object Detection (Q)
|
58% |
791
86.5 IPS |
|
|
Face Detection (SP)
|
100% |
1902
22.6 IPS |
|
|
Face Detection (HP)
|
100% |
738
8.77 IPS |
|
|
Face Detection (Q)
|
96% |
2584
30.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2956
22.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1028
7.92 IPS |
|
|
Depth Estimation (Q)
|
78% |
2851
22.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5275
6.78 IPS |
|
|
Style Transfer (HP)
|
100% |
4296
5.52 IPS |
|
|
Style Transfer (Q)
|
87% |
5169
6.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1021
37.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
911
33.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1018
37.7 IPS |
|
|
Text Classification (SP)
|
100% |
806
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
421
562.5 IPS |
|
|
Text Classification (Q)
|
97% |
300
402.4 IPS |
|
|
Machine Translation (SP)
|
100% |
989
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
372
6.40 IPS |
|
|
Machine Translation (Q)
|
68% |
1055
20.4 IPS |
