MouseComputer Co.,Ltd. 19124N-CML
Geekbench AI Score
1746
Single Precision Score
1766
Half Precision Score
2688
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | PC-FREEDOM |
| Upload Date | January 15 2026 01:41 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-10510U CPU @ 1.80GHz |
| 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% |
1321
245.7 IPS |
|
|
Image Classification (HP)
|
100% |
1318
245.0 IPS |
|
|
Image Classification (Q)
|
100% |
2239
416.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
890
14.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
886
14.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2089
34.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2458
2.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
2144
2.50 IPS |
|
|
Pose Estimation (Q)
|
94% |
4685
5.50 IPS |
|
|
Object Detection (SP)
|
100% |
1169
92.7 IPS |
|
|
Object Detection (HP)
|
100% |
1184
93.9 IPS |
|
|
Object Detection (Q)
|
87% |
2220
178.0 IPS |
|
|
Face Detection (SP)
|
100% |
1630
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
1619
19.2 IPS |
|
|
Face Detection (Q)
|
97% |
5167
61.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3201
24.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3212
24.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
5615
44.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6810
8.75 IPS |
|
|
Style Transfer (HP)
|
100% |
6515
8.38 IPS |
|
|
Style Transfer (Q)
|
98% |
8875
11.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
846
31.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1064
39.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1586
58.7 IPS |
|
|
Text Classification (SP)
|
100% |
1608
2.15 KIPS |
|
|
Text Classification (HP)
|
100% |
1645
2.20 KIPS |
|
|
Text Classification (Q)
|
91% |
742
997.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1613
27.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1679
28.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1340
23.1 IPS |
