MouseComputer Co.,Ltd. 19124N-CML
Geekbench AI Score
1902
Single Precision Score
1858
Half Precision Score
1484
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | PC-FREEDOM |
| Upload Date | January 15 2026 01:46 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce MX250 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | MouseComputer Co.,Ltd. 19124N-CML |
| Motherboard | MouseComputer Co.,Ltd. PF4MN2F |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10510U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
688
128.0 IPS |
|
|
Image Classification (HP)
|
100% |
730
135.7 IPS |
|
|
Image Classification (Q)
|
99% |
636
118.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
972
15.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1039
16.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
833
13.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6954
8.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
5802
6.77 IPS |
|
|
Pose Estimation (Q)
|
98% |
6105
7.15 IPS |
|
|
Object Detection (SP)
|
100% |
892
70.7 IPS |
|
|
Object Detection (HP)
|
100% |
938
74.4 IPS |
|
|
Object Detection (Q)
|
85% |
782
62.9 IPS |
|
|
Face Detection (SP)
|
100% |
1565
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
1719
20.4 IPS |
|
|
Face Detection (Q)
|
97% |
1357
16.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3587
27.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3594
27.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
2951
23.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15313
19.7 IPS |
|
|
Style Transfer (HP)
|
100% |
10856
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
12625
16.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2891
106.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2793
103.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2014
74.6 IPS |
|
|
Text Classification (SP)
|
100% |
546
729.4 IPS |
|
|
Text Classification (HP)
|
100% |
589
786.0 IPS |
|
|
Text Classification (Q)
|
97% |
373
499.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1103
19.0 IPS |
|
|
Machine Translation (HP)
|
96% |
1080
18.7 IPS |
|
|
Machine Translation (Q)
|
70% |
540
10.1 IPS |
