MouseComputer 20085P-CML
Geekbench AI Score
2238
Single Precision Score
2230
Half Precision Score
3411
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | PC-FREEDOM |
| Upload Date | January 06 2026 01:35 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-10750H CPU @ 2.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | MouseComputer 20085P-CML |
| Motherboard | MouseComputer PF5MR5G |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1536
285.6 IPS |
|
|
Image Classification (HP)
|
100% |
1528
284.2 IPS |
|
|
Image Classification (Q)
|
100% |
2313
430.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1378
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1346
21.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2514
40.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2966
3.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
2948
3.44 IPS |
|
|
Pose Estimation (Q)
|
94% |
6122
7.18 IPS |
|
|
Object Detection (SP)
|
100% |
1401
111.2 IPS |
|
|
Object Detection (HP)
|
100% |
1430
113.4 IPS |
|
|
Object Detection (Q)
|
87% |
2397
192.2 IPS |
|
|
Face Detection (SP)
|
100% |
2102
25.0 IPS |
|
|
Face Detection (HP)
|
100% |
2116
25.1 IPS |
|
|
Face Detection (Q)
|
97% |
6148
73.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3725
28.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3767
29.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
6451
50.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8658
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
8390
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
16692
21.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1753
64.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1753
64.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3611
133.7 IPS |
|
|
Text Classification (SP)
|
100% |
1542
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
1546
2.06 KIPS |
|
|
Text Classification (Q)
|
91% |
552
741.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1962
33.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1937
33.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1899
32.7 IPS |
