AZW GTR Pro
Geekbench AI Score
2548
Single Precision Score
2498
Half Precision Score
2077
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | decryp7 |
| Upload Date | October 12 2025 04:14 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| 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% |
1436
267.1 IPS |
|
|
Image Classification (HP)
|
100% |
1670
310.6 IPS |
|
|
Image Classification (Q)
|
99% |
1507
281.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2712
44.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2924
47.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1413
23.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3614
4.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
3604
4.21 IPS |
|
|
Pose Estimation (Q)
|
96% |
4684
5.49 IPS |
|
|
Object Detection (SP)
|
100% |
1712
135.8 IPS |
|
|
Object Detection (HP)
|
100% |
1743
138.3 IPS |
|
|
Object Detection (Q)
|
85% |
1585
127.6 IPS |
|
|
Face Detection (SP)
|
100% |
3214
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
3273
38.9 IPS |
|
|
Face Detection (Q)
|
97% |
3307
39.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2938
22.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2978
22.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
2660
24.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4934
6.34 IPS |
|
|
Style Transfer (HP)
|
100% |
4536
5.83 IPS |
|
|
Style Transfer (Q)
|
98% |
7247
9.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1684
62.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1672
61.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2263
83.9 IPS |
|
|
Text Classification (SP)
|
100% |
1422
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
1249
1.67 KIPS |
|
|
Text Classification (Q)
|
92% |
849
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
4302
74.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3343
57.6 IPS |
|
|
Machine Translation (Q)
|
58% |
775
18.2 IPS |
