MouseComputer Z4A9A01SRBGE
Geekbench AI Score
3644
Single Precision Score
1848
Half Precision Score
7405
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 21 2025 01:32 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 365 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | MouseComputer Z4A9A01SRBGE |
| Motherboard | MouseComputer X4SP4NAI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 365 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2998
557.6 IPS |
|
|
Image Classification (HP)
|
100% |
734
136.5 IPS |
|
|
Image Classification (Q)
|
99% |
7127
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1140
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
983
15.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
9521
154.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6287
7.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
5513
6.43 IPS |
|
|
Pose Estimation (Q)
|
94% |
24975
29.3 IPS |
|
|
Object Detection (SP)
|
100% |
2881
228.5 IPS |
|
|
Object Detection (HP)
|
100% |
899
71.3 IPS |
|
|
Object Detection (Q)
|
86% |
7425
596.8 IPS |
|
|
Face Detection (SP)
|
100% |
5950
70.7 IPS |
|
|
Face Detection (HP)
|
100% |
1891
22.5 IPS |
|
|
Face Detection (Q)
|
97% |
10755
128.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7802
60.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2718
20.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
16813
134.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15476
19.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13309
17.1 IPS |
|
|
Style Transfer (Q)
|
98% |
30532
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2395
88.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2280
84.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1544
57.2 IPS |
|
|
Text Classification (SP)
|
100% |
1716
2.29 KIPS |
|
|
Text Classification (HP)
|
100% |
858
1.14 KIPS |
|
|
Text Classification (Q)
|
97% |
1503
2.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2264
39.0 IPS |
|
|
Machine Translation (HP)
|
100% |
976
16.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3076
61.8 IPS |
