AZW SER9
Geekbench AI Score
2099
Single Precision Score
2112
Half Precision Score
1825
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | Light_Foot |
| Upload Date | September 19 2025 08:09 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| System Information | |
|---|---|
| Operating System | Fedora Linux 42 (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 | 5.16 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 26.99 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1268
235.7 IPS |
|
|
Image Classification (HP)
|
100% |
1338
248.8 IPS |
|
|
Image Classification (Q)
|
99% |
1201
224.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2160
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2203
35.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1323
21.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3020
3.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
3037
3.54 IPS |
|
|
Pose Estimation (Q)
|
96% |
3786
4.44 IPS |
|
|
Object Detection (SP)
|
100% |
1272
100.9 IPS |
|
|
Object Detection (HP)
|
100% |
1270
100.7 IPS |
|
|
Object Detection (Q)
|
85% |
1338
107.7 IPS |
|
|
Face Detection (SP)
|
100% |
2798
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
2790
33.2 IPS |
|
|
Face Detection (Q)
|
97% |
2747
32.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2582
19.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2562
19.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
2336
21.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4035
5.19 IPS |
|
|
Style Transfer (HP)
|
100% |
4010
5.16 IPS |
|
|
Style Transfer (Q)
|
98% |
7010
9.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1381
51.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1365
50.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1862
69.0 IPS |
|
|
Text Classification (SP)
|
100% |
1387
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
1394
1.86 KIPS |
|
|
Text Classification (Q)
|
92% |
790
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2829
48.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2854
49.2 IPS |
|
|
Machine Translation (Q)
|
58% |
770
18.1 IPS |
