MouseComputer EGPN712R305
Geekbench AI Score
3083
Single Precision Score
1253
Half Precision Score
5800
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | hisyho |
| Upload Date | January 19 2026 05:57 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-12700H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | MouseComputer EGPN712R305 |
| Motherboard | MouseComputer NP50PNK |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2724
506.5 IPS |
|
|
Image Classification (HP)
|
100% |
451
83.9 IPS |
|
|
Image Classification (Q)
|
99% |
4739
884.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1461
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
791
12.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
6531
106.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4641
5.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
3475
4.05 IPS |
|
|
Pose Estimation (Q)
|
94% |
15153
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2231
177.0 IPS |
|
|
Object Detection (HP)
|
100% |
569
45.2 IPS |
|
|
Object Detection (Q)
|
86% |
4877
392.0 IPS |
|
|
Face Detection (SP)
|
100% |
5512
65.5 IPS |
|
|
Face Detection (HP)
|
100% |
1292
15.4 IPS |
|
|
Face Detection (Q)
|
97% |
7337
87.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6183
47.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1905
14.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
11650
93.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11942
15.4 IPS |
|
|
Style Transfer (HP)
|
100% |
8101
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
17477
22.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2069
76.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1586
58.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3559
131.8 IPS |
|
|
Text Classification (SP)
|
100% |
1342
1.79 KIPS |
|
|
Text Classification (HP)
|
100% |
630
840.2 IPS |
|
|
Text Classification (Q)
|
97% |
1273
1.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
1667
28.7 IPS |
|
|
Machine Translation (HP)
|
100% |
679
11.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2786
56.0 IPS |
