MouseComputer J6A7G50WTBED
Geekbench AI Score
3037
Single Precision Score
1400
Half Precision Score
6599
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 16 2025 04:56 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 255 w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | MouseComputer J6A7G50WTBED |
| Motherboard | MouseComputer X6HP45x1 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 255 w/ Radeon 780M Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3288
611.4 IPS |
|
|
Image Classification (HP)
|
100% |
689
128.2 IPS |
|
|
Image Classification (Q)
|
99% |
8075
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1204
19.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
665
10.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
7402
120.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4253
4.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
3782
4.41 IPS |
|
|
Pose Estimation (Q)
|
94% |
15353
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2089
165.7 IPS |
|
|
Object Detection (HP)
|
100% |
527
41.8 IPS |
|
|
Object Detection (Q)
|
86% |
5651
454.2 IPS |
|
|
Face Detection (SP)
|
100% |
4832
57.4 IPS |
|
|
Face Detection (HP)
|
100% |
1293
15.4 IPS |
|
|
Face Detection (Q)
|
97% |
8283
98.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5418
41.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2007
15.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
7006
55.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10638
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
9659
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
25327
32.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2353
86.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2203
81.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4878
180.6 IPS |
|
|
Text Classification (SP)
|
100% |
1598
2.13 KIPS |
|
|
Text Classification (HP)
|
100% |
739
987.0 IPS |
|
|
Text Classification (Q)
|
97% |
1582
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1817
31.3 IPS |
|
|
Machine Translation (HP)
|
100% |
779
13.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2666
53.6 IPS |
