AZW SER9
Geekbench AI Score
2120
Single Precision Score
2117
Half Precision Score
1815
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | Light_Foot |
| Upload Date | March 02 2026 04:15 AM |
| 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 | 30.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1203
223.8 IPS |
|
|
Image Classification (HP)
|
100% |
1189
221.0 IPS |
|
|
Image Classification (Q)
|
99% |
1196
223.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2180
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2134
34.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1263
20.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3030
3.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
2993
3.49 IPS |
|
|
Pose Estimation (Q)
|
96% |
3857
4.52 IPS |
|
|
Object Detection (SP)
|
100% |
1285
101.9 IPS |
|
|
Object Detection (HP)
|
100% |
1271
100.8 IPS |
|
|
Object Detection (Q)
|
85% |
1337
107.6 IPS |
|
|
Face Detection (SP)
|
100% |
2790
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
2822
33.5 IPS |
|
|
Face Detection (Q)
|
97% |
2761
32.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2527
19.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2543
19.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
2335
21.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4064
5.22 IPS |
|
|
Style Transfer (HP)
|
100% |
4070
5.23 IPS |
|
|
Style Transfer (Q)
|
98% |
7193
9.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1401
51.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1402
51.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1866
69.1 IPS |
|
|
Text Classification (SP)
|
100% |
1506
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
1498
2.00 KIPS |
|
|
Text Classification (Q)
|
92% |
785
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
2982
51.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3060
52.7 IPS |
|
|
Machine Translation (Q)
|
58% |
736
17.3 IPS |
