MouseComputer/E81Pro B75H2-D
Geekbench AI Score
833
Single Precision Score
473
Half Precision Score
724
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| Upload Date | May 24 2025 01:34 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-3470 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | MouseComputer/E81Pro B75H2-D |
| Motherboard | MouseComputer Co.,Ltd. B75H2-D |
| CPU Information | |
|---|---|
| Name | Intel Core i5-3470 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
612
113.8 IPS |
|
|
Image Classification (HP)
|
100% |
203
37.7 IPS |
|
|
Image Classification (Q)
|
96% |
591
110.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
365
5.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
275
4.46 IPS |
|
|
Image Segmentation (Q)
|
97% |
454
7.39 IPS |
|
|
Pose Estimation (SP)
|
100% |
1304
1.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
1033
1.21 IPS |
|
|
Pose Estimation (Q)
|
86% |
1145
1.35 IPS |
|
|
Object Detection (SP)
|
100% |
575
45.6 IPS |
|
|
Object Detection (HP)
|
100% |
241
19.1 IPS |
|
|
Object Detection (Q)
|
58% |
423
46.2 IPS |
|
|
Face Detection (SP)
|
100% |
953
11.3 IPS |
|
|
Face Detection (HP)
|
100% |
473
5.62 IPS |
|
|
Face Detection (Q)
|
96% |
994
11.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1606
12.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
725
5.58 IPS |
|
|
Depth Estimation (Q)
|
78% |
1275
10.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3011
3.87 IPS |
|
|
Style Transfer (HP)
|
100% |
2602
3.35 IPS |
|
|
Style Transfer (Q)
|
87% |
2217
2.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
611
22.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
566
20.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
596
22.1 IPS |
|
|
Text Classification (SP)
|
100% |
550
733.8 IPS |
|
|
Text Classification (HP)
|
100% |
292
390.3 IPS |
|
|
Text Classification (Q)
|
97% |
267
358.1 IPS |
|
|
Machine Translation (SP)
|
100% |
627
10.8 IPS |
|
|
Machine Translation (HP)
|
100% |
277
4.77 IPS |
|
|
Machine Translation (Q)
|
68% |
682
13.2 IPS |
