Main Board MT10
Geekbench AI Score
570
Single Precision Score
345
Half Precision Score
642
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | vincent_wjw |
| Upload Date | July 01 2025 10:55 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-4600M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Main Board MT10 |
| Motherboard | Main Board SM5OPSSB |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4600M |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
356
66.3 IPS |
|
|
Image Classification (HP)
|
100% |
180
33.5 IPS |
|
|
Image Classification (Q)
|
96% |
566
105.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
270
4.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
187
3.03 IPS |
|
|
Image Segmentation (Q)
|
97% |
410
6.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
888
1.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
558
0.65 IPS |
|
|
Pose Estimation (Q)
|
86% |
1001
1.18 IPS |
|
|
Object Detection (SP)
|
100% |
291
23.1 IPS |
|
|
Object Detection (HP)
|
100% |
195
15.5 IPS |
|
|
Object Detection (Q)
|
58% |
308
33.6 IPS |
|
|
Face Detection (SP)
|
100% |
781
9.28 IPS |
|
|
Face Detection (HP)
|
100% |
392
4.66 IPS |
|
|
Face Detection (Q)
|
96% |
1364
16.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
951
7.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
450
3.47 IPS |
|
|
Depth Estimation (Q)
|
78% |
928
7.40 IPS |
|
|
Style Transfer (SP)
|
100% |
1794
2.31 IPS |
|
|
Style Transfer (HP)
|
100% |
1362
1.75 IPS |
|
|
Style Transfer (Q)
|
87% |
2131
2.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
414
15.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
379
14.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
585
21.7 IPS |
|
|
Text Classification (SP)
|
100% |
521
695.5 IPS |
|
|
Text Classification (HP)
|
100% |
303
403.8 IPS |
|
|
Text Classification (Q)
|
97% |
224
299.9 IPS |
|
|
Machine Translation (SP)
|
100% |
514
8.85 IPS |
|
|
Machine Translation (HP)
|
100% |
241
4.16 IPS |
|
|
Machine Translation (Q)
|
68% |
477
9.22 IPS |
