MouseComputer 20085P-CML
Geekbench AI Score
1798
Single Precision Score
858
Half Precision Score
2552
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | PC-FREEDOM |
| Upload Date | January 06 2026 01:01 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-10750H |
| 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% |
1538
286.1 IPS |
|
|
Image Classification (HP)
|
100% |
299
55.6 IPS |
|
|
Image Classification (Q)
|
96% |
2206
412.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
807
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
483
7.83 IPS |
|
|
Image Segmentation (Q)
|
97% |
2608
42.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2966
3.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
2527
2.95 IPS |
|
|
Pose Estimation (Q)
|
86% |
5392
6.37 IPS |
|
|
Object Detection (SP)
|
100% |
1384
109.8 IPS |
|
|
Object Detection (HP)
|
100% |
382
30.3 IPS |
|
|
Object Detection (Q)
|
58% |
1490
162.8 IPS |
|
|
Face Detection (SP)
|
100% |
1685
20.0 IPS |
|
|
Face Detection (HP)
|
100% |
743
8.82 IPS |
|
|
Face Detection (Q)
|
96% |
3560
42.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3614
27.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1218
9.39 IPS |
|
|
Depth Estimation (Q)
|
78% |
4761
38.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7282
9.36 IPS |
|
|
Style Transfer (HP)
|
100% |
5930
7.62 IPS |
|
|
Style Transfer (Q)
|
87% |
6739
8.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1349
49.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1198
44.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2300
85.2 IPS |
|
|
Text Classification (SP)
|
100% |
1027
1.37 KIPS |
|
|
Text Classification (HP)
|
100% |
520
694.1 IPS |
|
|
Text Classification (Q)
|
97% |
742
993.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1133
19.5 IPS |
|
|
Machine Translation (HP)
|
100% |
468
8.06 IPS |
|
|
Machine Translation (Q)
|
68% |
1304
25.2 IPS |
