AZW SER9
Geekbench AI Score
2031
Single Precision Score
1998
Half Precision Score
1778
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | Light_Foot |
| Upload Date | February 18 2026 12:44 AM |
| Views | 12 |
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% |
1222
227.2 IPS |
|
|
Image Classification (HP)
|
100% |
1139
211.9 IPS |
|
|
Image Classification (Q)
|
99% |
1255
234.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2113
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2082
33.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1239
20.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2848
3.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
2715
3.17 IPS |
|
|
Pose Estimation (Q)
|
96% |
3774
4.42 IPS |
|
|
Object Detection (SP)
|
100% |
1166
92.5 IPS |
|
|
Object Detection (HP)
|
100% |
1174
93.1 IPS |
|
|
Object Detection (Q)
|
85% |
1240
99.8 IPS |
|
|
Face Detection (SP)
|
100% |
2522
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
2530
30.1 IPS |
|
|
Face Detection (Q)
|
97% |
2545
30.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2268
17.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2241
17.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
2201
20.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3999
5.14 IPS |
|
|
Style Transfer (HP)
|
100% |
4046
5.20 IPS |
|
|
Style Transfer (Q)
|
98% |
7145
9.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1382
51.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1372
50.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1861
69.0 IPS |
|
|
Text Classification (SP)
|
100% |
1474
1.97 KIPS |
|
|
Text Classification (HP)
|
100% |
1409
1.88 KIPS |
|
|
Text Classification (Q)
|
92% |
792
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2996
51.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3038
52.3 IPS |
|
|
Machine Translation (Q)
|
58% |
738
17.3 IPS |
