AZW GTR Pro
Geekbench AI Score
3790
Single Precision Score
934
Half Precision Score
8739
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | decryp7 |
| Upload Date | October 12 2025 04:18 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI Max+ 395 |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 13 (trixie) |
| Model | AZW GTR Pro |
| Motherboard | AZW GTR Pro |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI Max+ 395 |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 112 Stepping 0 |
| Base Frequency | 5.19 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1645
305.9 IPS |
|
|
Image Classification (HP)
|
100% |
191
35.5 IPS |
|
|
Image Classification (Q)
|
97% |
5526
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1362
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
300
4.87 IPS |
|
|
Image Segmentation (Q)
|
99% |
3054
49.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12030
14.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
7719
9.01 IPS |
|
|
Pose Estimation (Q)
|
94% |
50259
58.9 IPS |
|
|
Object Detection (SP)
|
100% |
2134
169.3 IPS |
|
|
Object Detection (HP)
|
100% |
244
19.4 IPS |
|
|
Object Detection (Q)
|
86% |
9955
800.0 IPS |
|
|
Face Detection (SP)
|
100% |
2917
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
365
4.34 IPS |
|
|
Face Detection (Q)
|
97% |
16098
191.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9232
71.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1180
9.09 IPS |
|
|
Depth Estimation (Q)
|
78% |
17269
137.8 IPS |
|
|
Style Transfer (SP)
|
100% |
26582
34.2 IPS |
|
|
Style Transfer (HP)
|
100% |
13576
17.5 IPS |
|
|
Style Transfer (Q)
|
98% |
31820
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2964
109.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2696
99.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4526
167.6 IPS |
|
|
Text Classification (SP)
|
100% |
2161
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
545
726.9 IPS |
|
|
Text Classification (Q)
|
97% |
2211
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2321
40.0 IPS |
|
|
Machine Translation (HP)
|
100% |
547
9.43 IPS |
|
|
Machine Translation (Q)
|
65% |
3477
69.9 IPS |
