AZW GTR Pro
Geekbench AI Score
11408
Single Precision Score
11733
Half Precision Score
29194
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | decryp7 |
| Upload Date | September 24 2025 07:03 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD RYZEN AI MAX+ 395 w/ Radeon 8060S |
| 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% |
5676
1.06 KIPS |
|
|
Image Classification (HP)
|
100% |
6100
1.13 KIPS |
|
|
Image Classification (Q)
|
100% |
15204
2.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7372
119.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7837
127.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
22370
362.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
23091
26.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
23505
27.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
87225
102.1 IPS |
|
|
Object Detection (SP)
|
100% |
6515
516.8 IPS |
|
|
Object Detection (HP)
|
100% |
7012
556.2 IPS |
|
|
Object Detection (Q)
|
88% |
15798
1.27 KIPS |
|
|
Face Detection (SP)
|
100% |
15549
184.8 IPS |
|
|
Face Detection (HP)
|
100% |
15329
182.1 IPS |
|
|
Face Detection (Q)
|
100% |
50949
605.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
19506
150.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
20686
159.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
55239
429.9 IPS |
|
|
Style Transfer (SP)
|
100% |
57268
73.6 IPS |
|
|
Style Transfer (HP)
|
100% |
57015
73.3 IPS |
|
|
Style Transfer (Q)
|
98% |
212590
274.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11581
427.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11718
432.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32990
1.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3846
5.13 KIPS |
|
|
Text Classification (HP)
|
100% |
3926
5.24 KIPS |
|
|
Text Classification (Q)
|
92% |
5648
7.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
7672
132.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7546
130.0 IPS |
|
|
Machine Translation (Q)
|
100% |
8608
148.3 IPS |
