AZW SER9
Geekbench AI Score
2052
Single Precision Score
2051
Half Precision Score
1781
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | Light_Foot |
| Upload Date | March 27 2026 09:36 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 | 7.32 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1165
216.6 IPS |
|
|
Image Classification (HP)
|
100% |
1141
212.2 IPS |
|
|
Image Classification (Q)
|
99% |
1195
223.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2047
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2082
33.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1216
19.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2841
3.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
2838
3.31 IPS |
|
|
Pose Estimation (Q)
|
96% |
3813
4.47 IPS |
|
|
Object Detection (SP)
|
100% |
1318
104.5 IPS |
|
|
Object Detection (HP)
|
100% |
1300
103.1 IPS |
|
|
Object Detection (Q)
|
85% |
1307
105.2 IPS |
|
|
Face Detection (SP)
|
100% |
2768
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
2739
32.5 IPS |
|
|
Face Detection (Q)
|
97% |
2616
31.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2404
18.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2443
18.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
2280
21.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3890
5.00 IPS |
|
|
Style Transfer (HP)
|
100% |
3911
5.03 IPS |
|
|
Style Transfer (Q)
|
98% |
7117
9.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1342
49.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1345
49.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1865
69.1 IPS |
|
|
Text Classification (SP)
|
100% |
1422
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
1421
1.90 KIPS |
|
|
Text Classification (Q)
|
92% |
772
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3007
51.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3005
51.8 IPS |
|
|
Machine Translation (Q)
|
58% |
728
17.1 IPS |
