Main Board MT10
Geekbench AI Score
570
Single Precision Score
354
Half Precision Score
657
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | vincent_wjw |
| Upload Date | July 01 2025 09:41 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-4200M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | Main Board MT10 |
| Motherboard | Main Board SM5OPSSBM |
| CPU Information | |
|---|---|
| Name | Intel Core i5-4200M |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
405
75.3 IPS |
|
|
Image Classification (HP)
|
100% |
166
30.9 IPS |
|
|
Image Classification (Q)
|
96% |
498
93.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
230
3.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
224
3.63 IPS |
|
|
Image Segmentation (Q)
|
97% |
477
7.75 IPS |
|
|
Pose Estimation (SP)
|
100% |
909
1.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
720
0.84 IPS |
|
|
Pose Estimation (Q)
|
86% |
1049
1.24 IPS |
|
|
Object Detection (SP)
|
100% |
363
28.8 IPS |
|
|
Object Detection (HP)
|
100% |
178
14.1 IPS |
|
|
Object Detection (Q)
|
58% |
352
38.5 IPS |
|
|
Face Detection (SP)
|
100% |
656
7.79 IPS |
|
|
Face Detection (HP)
|
100% |
352
4.18 IPS |
|
|
Face Detection (Q)
|
96% |
1042
12.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
875
6.74 IPS |
|
|
Depth Estimation (HP)
|
99% |
549
4.23 IPS |
|
|
Depth Estimation (Q)
|
78% |
1220
9.74 IPS |
|
|
Style Transfer (SP)
|
100% |
2094
2.69 IPS |
|
|
Style Transfer (HP)
|
100% |
1741
2.24 IPS |
|
|
Style Transfer (Q)
|
87% |
2014
2.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
409
15.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
375
13.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
592
21.9 IPS |
|
|
Text Classification (SP)
|
100% |
472
630.2 IPS |
|
|
Text Classification (HP)
|
100% |
255
340.2 IPS |
|
|
Text Classification (Q)
|
97% |
205
274.1 IPS |
|
|
Machine Translation (SP)
|
100% |
516
8.88 IPS |
|
|
Machine Translation (HP)
|
100% |
205
3.53 IPS |
|
|
Machine Translation (Q)
|
68% |
556
10.7 IPS |
