MouseComputer 20085P-CML
Geekbench AI Score
3381
Single Precision Score
1819
Half Precision Score
2781
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | PC-FREEDOM |
| Upload Date | January 06 2026 01:38 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1650 |
| 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% |
1457
270.9 IPS |
|
|
Image Classification (HP)
|
100% |
679
126.3 IPS |
|
|
Image Classification (Q)
|
99% |
1360
253.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2408
39.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1249
20.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2689
43.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9505
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
9679
11.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
8878
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
1802
143.0 IPS |
|
|
Object Detection (HP)
|
100% |
631
50.0 IPS |
|
|
Object Detection (Q)
|
83% |
1644
132.8 IPS |
|
|
Face Detection (SP)
|
100% |
3694
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
1818
21.6 IPS |
|
|
Face Detection (Q)
|
97% |
3382
40.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6954
53.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3772
29.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
5927
47.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19222
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
20871
26.8 IPS |
|
|
Style Transfer (Q)
|
98% |
17349
22.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4313
159.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2969
109.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3415
126.5 IPS |
|
|
Text Classification (SP)
|
100% |
840
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
324
431.9 IPS |
|
|
Text Classification (Q)
|
97% |
477
638.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1816
31.3 IPS |
|
|
Machine Translation (HP)
|
98% |
558
9.64 IPS |
|
|
Machine Translation (Q)
|
70% |
916
17.2 IPS |
