PCWARE IPMH81G1
Geekbench AI Score
1207
Single Precision Score
676
Half Precision Score
1161
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 24 2024 09:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-4570 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | PCWARE IPMH81G1 |
| Motherboard | PCWARE IPMH81G1 |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i5-4570 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
687
127.7 IPS |
|
|
Image Classification (HP)
|
100% |
265
49.3 IPS |
|
|
Image Classification (Q)
|
96% |
852
159.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
558
9.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
393
6.36 IPS |
|
|
Image Segmentation (Q)
|
97% |
829
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2314
2.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
1906
2.22 IPS |
|
|
Pose Estimation (Q)
|
87% |
2599
3.07 IPS |
|
|
Object Detection (SP)
|
100% |
718
57.0 IPS |
|
|
Object Detection (HP)
|
100% |
318
25.2 IPS |
|
|
Object Detection (Q)
|
86% |
690
55.5 IPS |
|
|
Face Detection (SP)
|
100% |
1025
12.2 IPS |
|
|
Face Detection (HP)
|
100% |
652
7.74 IPS |
|
|
Face Detection (Q)
|
96% |
1514
18.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2401
18.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1010
7.78 IPS |
|
|
Depth Estimation (Q)
|
77% |
2054
16.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5143
6.61 IPS |
|
|
Style Transfer (HP)
|
100% |
4178
5.37 IPS |
|
|
Style Transfer (Q)
|
87% |
4852
6.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1016
37.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
862
31.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
967
35.8 IPS |
|
|
Text Classification (SP)
|
100% |
918
1.23 KIPS |
|
|
Text Classification (HP)
|
100% |
385
513.8 IPS |
|
|
Text Classification (Q)
|
97% |
296
397.1 IPS |
|
|
Machine Translation (SP)
|
100% |
880
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
348
6.00 IPS |
|
|
Machine Translation (Q)
|
60% |
815
18.2 IPS |
