AZW SER9
Geekbench AI Score
2114
Single Precision Score
2111
Half Precision Score
1792
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | Light_Foot |
| Upload Date | March 23 2026 04:22 PM |
| Views | 11 |
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 | 5.16 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.32 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1188
221.0 IPS |
|
|
Image Classification (HP)
|
100% |
1225
227.9 IPS |
|
|
Image Classification (Q)
|
99% |
1256
234.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2119
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2145
34.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1203
19.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2966
3.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
2936
3.43 IPS |
|
|
Pose Estimation (Q)
|
96% |
3796
4.45 IPS |
|
|
Object Detection (SP)
|
100% |
1294
102.6 IPS |
|
|
Object Detection (HP)
|
100% |
1280
101.5 IPS |
|
|
Object Detection (Q)
|
85% |
1345
108.2 IPS |
|
|
Face Detection (SP)
|
100% |
2887
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
2858
34.0 IPS |
|
|
Face Detection (Q)
|
97% |
2742
32.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2510
19.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2460
19.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
2075
19.5 IPS |
|
|
Style Transfer (SP)
|
100% |
4062
5.22 IPS |
|
|
Style Transfer (HP)
|
100% |
4031
5.18 IPS |
|
|
Style Transfer (Q)
|
98% |
7136
9.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1394
51.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1382
51.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1866
69.1 IPS |
|
|
Text Classification (SP)
|
100% |
1503
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
1559
2.08 KIPS |
|
|
Text Classification (Q)
|
92% |
788
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2998
51.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2928
50.4 IPS |
|
|
Machine Translation (Q)
|
58% |
743
17.4 IPS |
