AZW SER9
Geekbench AI Score
2095
Single Precision Score
2125
Half Precision Score
1775
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | storktec |
| Upload Date | August 27 2025 03:08 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 |
| System Information | |
|---|---|
| Operating System | Manjaro Linux |
| Model | AZW SER9 |
| Motherboard | AZW SER9 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 4.37 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 27.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1209
224.8 IPS |
|
|
Image Classification (HP)
|
100% |
1262
234.7 IPS |
|
|
Image Classification (Q)
|
99% |
1221
227.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2129
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2174
35.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1286
20.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3028
3.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
3008
3.51 IPS |
|
|
Pose Estimation (Q)
|
96% |
3781
4.43 IPS |
|
|
Object Detection (SP)
|
100% |
1293
102.6 IPS |
|
|
Object Detection (HP)
|
100% |
1276
101.2 IPS |
|
|
Object Detection (Q)
|
85% |
1332
107.2 IPS |
|
|
Face Detection (SP)
|
100% |
2681
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
2717
32.3 IPS |
|
|
Face Detection (Q)
|
97% |
2740
32.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2538
19.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2532
19.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
2321
21.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4104
5.28 IPS |
|
|
Style Transfer (HP)
|
100% |
4074
5.24 IPS |
|
|
Style Transfer (Q)
|
98% |
6899
8.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1400
51.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1405
51.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1861
69.0 IPS |
|
|
Text Classification (SP)
|
100% |
1409
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
1527
2.04 KIPS |
|
|
Text Classification (Q)
|
92% |
679
912.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2944
50.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2971
51.2 IPS |
|
|
Machine Translation (Q)
|
58% |
711
16.7 IPS |
