Gigabyte Technology Co., Ltd. H81M-S2PV
Geekbench AI Score
1373
Single Precision Score
695
Half Precision Score
1256
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows AVX2
Result Information
| Upload Date | June 18 2025 01:16 PM |
| Views | 3 |
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% |
1035
192.4 IPS |
|
|
Image Classification (HP)
|
100% |
265
49.3 IPS |
|
|
Image Classification (Q)
|
96% |
1140
212.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
556
9.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
398
6.44 IPS |
|
|
Image Segmentation (Q)
|
97% |
488
7.93 IPS |
|
|
Pose Estimation (SP)
|
100% |
2453
2.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
1954
2.28 IPS |
|
|
Pose Estimation (Q)
|
86% |
2384
2.82 IPS |
|
|
Object Detection (SP)
|
100% |
869
68.9 IPS |
|
|
Object Detection (HP)
|
100% |
342
27.2 IPS |
|
|
Object Detection (Q)
|
58% |
730
79.8 IPS |
|
|
Face Detection (SP)
|
100% |
1837
21.8 IPS |
|
|
Face Detection (HP)
|
100% |
703
8.36 IPS |
|
|
Face Detection (Q)
|
96% |
2439
29.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2597
20.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
937
7.22 IPS |
|
|
Depth Estimation (Q)
|
78% |
2722
21.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4929
6.34 IPS |
|
|
Style Transfer (HP)
|
100% |
4107
5.28 IPS |
|
|
Style Transfer (Q)
|
87% |
4623
6.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1044
38.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
918
33.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1021
37.8 IPS |
|
|
Text Classification (SP)
|
100% |
807
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
416
555.1 IPS |
|
|
Text Classification (Q)
|
97% |
300
401.9 IPS |
|
|
Machine Translation (SP)
|
100% |
986
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
366
6.31 IPS |
|
|
Machine Translation (Q)
|
68% |
1074
20.8 IPS |
