Micro-Star International Co., Ltd. CR62 6ML
Geekbench AI Score
193
Single Precision Score
138
Half Precision Score
353
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | October 01 2025 05:17 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Pentium 4405U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | Micro-Star International Co., Ltd. CR62 6ML |
| Motherboard | Micro-Star International Co., Ltd. MS-16J7 |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Pentium 4405U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 78 Stepping 3 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
123
22.8 IPS |
|
|
Image Classification (HP)
|
100% |
73
13.6 IPS |
|
|
Image Classification (Q)
|
96% |
253
47.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
123
1.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
101
1.63 IPS |
|
|
Image Segmentation (Q)
|
97% |
233
3.78 IPS |
|
|
Pose Estimation (SP)
|
100% |
206
0.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
197
0.23 IPS |
|
|
Pose Estimation (Q)
|
86% |
487
0.58 IPS |
|
|
Object Detection (SP)
|
100% |
116
9.23 IPS |
|
|
Object Detection (HP)
|
100% |
80
6.36 IPS |
|
|
Object Detection (Q)
|
58% |
185
20.3 IPS |
|
|
Face Detection (SP)
|
100% |
358
4.25 IPS |
|
|
Face Detection (HP)
|
100% |
195
2.32 IPS |
|
|
Face Detection (Q)
|
96% |
477
5.69 IPS |
|
|
Depth Estimation (SP)
|
100% |
263
2.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
184
1.42 IPS |
|
|
Depth Estimation (Q)
|
78% |
497
3.96 IPS |
|
|
Style Transfer (SP)
|
100% |
516
0.66 IPS |
|
|
Style Transfer (HP)
|
100% |
514
0.66 IPS |
|
|
Style Transfer (Q)
|
87% |
965
1.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
123
4.56 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
109
4.02 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
249
9.21 IPS |
|
|
Text Classification (SP)
|
100% |
153
203.8 IPS |
|
|
Text Classification (HP)
|
100% |
99
132.5 IPS |
|
|
Text Classification (Q)
|
97% |
283
379.6 IPS |
|
|
Machine Translation (SP)
|
100% |
219
3.78 IPS |
|
|
Machine Translation (HP)
|
100% |
110
1.90 IPS |
|
|
Machine Translation (Q)
|
68% |
353
6.83 IPS |
