AZW GTR Pro
Geekbench AI Score
1142
Single Precision Score
1205
Half Precision Score
866
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | decryp7 |
| Upload Date | October 09 2025 03:39 PM |
| Views | 3 |
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% |
753
140.1 IPS |
|
|
Image Classification (HP)
|
100% |
783
145.7 IPS |
|
|
Image Classification (Q)
|
99% |
624
116.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1422
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1487
24.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
630
10.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2005
2.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
1810
2.11 IPS |
|
|
Pose Estimation (Q)
|
96% |
1944
2.28 IPS |
|
|
Object Detection (SP)
|
100% |
234
18.5 IPS |
|
|
Object Detection (HP)
|
100% |
396
31.4 IPS |
|
|
Object Detection (Q)
|
85% |
374
30.1 IPS |
|
|
Face Detection (SP)
|
100% |
1295
15.4 IPS |
|
|
Face Detection (HP)
|
100% |
1493
17.7 IPS |
|
|
Face Detection (Q)
|
97% |
1072
12.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1378
10.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1435
11.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
1131
10.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2590
3.33 IPS |
|
|
Style Transfer (HP)
|
100% |
3000
3.86 IPS |
|
|
Style Transfer (Q)
|
98% |
4070
5.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
976
36.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
929
34.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1072
39.7 IPS |
|
|
Text Classification (SP)
|
100% |
831
1.11 KIPS |
|
|
Text Classification (HP)
|
100% |
824
1.10 KIPS |
|
|
Text Classification (Q)
|
92% |
410
551.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2012
34.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1580
27.2 IPS |
|
|
Machine Translation (Q)
|
58% |
386
9.06 IPS |
