MouseComputer EGPN712R305
Geekbench AI Score
9700
Single Precision Score
17356
Half Precision Score
6479
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | hisyho |
| Upload Date | January 19 2026 06:02 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 Ti Laptop GPU |
| 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% |
3604
670.2 IPS |
|
|
Image Classification (HP)
|
99% |
5939
1.11 KIPS |
|
|
Image Classification (Q)
|
99% |
2764
515.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6322
102.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
10413
168.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5096
82.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
45371
52.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
143778
167.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
36661
43.0 IPS |
|
|
Object Detection (SP)
|
100% |
4584
363.6 IPS |
|
|
Object Detection (HP)
|
100% |
8870
703.6 IPS |
|
|
Object Detection (Q)
|
84% |
3620
292.0 IPS |
|
|
Face Detection (SP)
|
100% |
10539
125.2 IPS |
|
|
Face Detection (HP)
|
100% |
18667
221.8 IPS |
|
|
Face Detection (Q)
|
97% |
8466
101.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
22731
175.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
47111
364.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
16217
130.0 IPS |
|
|
Style Transfer (SP)
|
100% |
74235
95.4 IPS |
|
|
Style Transfer (HP)
|
100% |
184737
237.5 IPS |
|
|
Style Transfer (Q)
|
98% |
58671
75.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14255
526.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24484
904.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8319
308.0 IPS |
|
|
Text Classification (SP)
|
100% |
2224
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
2766
3.69 KIPS |
|
|
Text Classification (Q)
|
97% |
925
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2762
47.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2859
49.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1126
21.1 IPS |
