AZW SER9
Geekbench AI Score
2138
Single Precision Score
2139
Half Precision Score
1814
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | Light_Foot |
| Upload Date | January 05 2026 10:53 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 |
| System Information | |
|---|---|
| Operating System | Fedora Linux 43 (Workstation Edition) |
| 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 | 5.23 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1267
235.7 IPS |
|
|
Image Classification (HP)
|
100% |
1223
227.5 IPS |
|
|
Image Classification (Q)
|
99% |
1231
229.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2152
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2166
35.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1302
21.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3055
3.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
3041
3.55 IPS |
|
|
Pose Estimation (Q)
|
96% |
3851
4.51 IPS |
|
|
Object Detection (SP)
|
100% |
1304
103.4 IPS |
|
|
Object Detection (HP)
|
100% |
1295
102.7 IPS |
|
|
Object Detection (Q)
|
85% |
1335
107.5 IPS |
|
|
Face Detection (SP)
|
100% |
2815
33.4 IPS |
|
|
Face Detection (HP)
|
100% |
2882
34.2 IPS |
|
|
Face Detection (Q)
|
97% |
2722
32.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2534
19.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2554
19.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
2340
21.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4017
5.16 IPS |
|
|
Style Transfer (HP)
|
100% |
4023
5.17 IPS |
|
|
Style Transfer (Q)
|
98% |
6962
8.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1409
52.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1379
50.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1869
69.2 IPS |
|
|
Text Classification (SP)
|
100% |
1487
1.98 KIPS |
|
|
Text Classification (HP)
|
100% |
1514
2.02 KIPS |
|
|
Text Classification (Q)
|
92% |
789
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3066
52.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3114
53.6 IPS |
|
|
Machine Translation (Q)
|
58% |
717
16.8 IPS |
