MouseComputer Co.,Ltd. 19124N-CML
Geekbench AI Score
1460
Single Precision Score
766
Half Precision Score
2331
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | PC-FREEDOM |
| Upload Date | January 15 2026 01:38 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-10510U |
| 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% |
1209
224.9 IPS |
|
|
Image Classification (HP)
|
100% |
288
53.5 IPS |
|
|
Image Classification (Q)
|
96% |
1906
356.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
580
9.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
416
6.74 IPS |
|
|
Image Segmentation (Q)
|
97% |
2237
36.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2291
2.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
2031
2.37 IPS |
|
|
Pose Estimation (Q)
|
86% |
4558
5.39 IPS |
|
|
Object Detection (SP)
|
100% |
1075
85.3 IPS |
|
|
Object Detection (HP)
|
100% |
352
27.9 IPS |
|
|
Object Detection (Q)
|
58% |
1367
149.3 IPS |
|
|
Face Detection (SP)
|
100% |
1235
14.7 IPS |
|
|
Face Detection (HP)
|
100% |
631
7.50 IPS |
|
|
Face Detection (Q)
|
96% |
3173
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2866
22.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1112
8.56 IPS |
|
|
Depth Estimation (Q)
|
78% |
4163
33.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5746
7.39 IPS |
|
|
Style Transfer (HP)
|
100% |
4620
5.94 IPS |
|
|
Style Transfer (Q)
|
87% |
5913
7.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1094
40.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
994
36.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2199
81.5 IPS |
|
|
Text Classification (SP)
|
100% |
1104
1.47 KIPS |
|
|
Text Classification (HP)
|
100% |
596
795.4 IPS |
|
|
Text Classification (Q)
|
97% |
923
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1041
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
427
7.36 IPS |
|
|
Machine Translation (Q)
|
68% |
1126
21.7 IPS |
