AZW GTR Pro
Geekbench AI Score
6517
Single Precision Score
2427
Half Precision Score
11392
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 04 2025 02:44 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI Max+ 395 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| 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 | 3.00 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4921
915.1 IPS |
|
|
Image Classification (HP)
|
100% |
713
132.5 IPS |
|
|
Image Classification (Q)
|
99% |
12768
2.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1688
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1098
17.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
16084
261.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15593
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
11855
13.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
50079
58.7 IPS |
|
|
Object Detection (SP)
|
100% |
4960
393.4 IPS |
|
|
Object Detection (HP)
|
100% |
913
72.4 IPS |
|
|
Object Detection (Q)
|
86% |
13436
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
11706
139.1 IPS |
|
|
Face Detection (HP)
|
100% |
2086
24.8 IPS |
|
|
Face Detection (Q)
|
97% |
13513
161.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
15938
122.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3122
24.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
11177
89.2 IPS |
|
|
Style Transfer (SP)
|
100% |
31216
40.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26723
34.4 IPS |
|
|
Style Transfer (Q)
|
98% |
51019
65.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4397
162.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3595
132.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4545
168.3 IPS |
|
|
Text Classification (SP)
|
100% |
2499
3.34 KIPS |
|
|
Text Classification (HP)
|
100% |
1177
1.57 KIPS |
|
|
Text Classification (Q)
|
97% |
1787
2.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3366
58.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1141
19.7 IPS |
|
|
Machine Translation (Q)
|
65% |
4258
85.6 IPS |
