AZW SER9
Geekbench AI Score
2157
Single Precision Score
2133
Half Precision Score
1805
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | Light_Foot |
| Upload Date | January 13 2026 07:04 AM |
| Views | 7 |
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% |
1322
245.8 IPS |
|
|
Image Classification (HP)
|
100% |
1207
224.5 IPS |
|
|
Image Classification (Q)
|
99% |
1245
232.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2187
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2170
35.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1310
21.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3039
3.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
3079
3.59 IPS |
|
|
Pose Estimation (Q)
|
96% |
3804
4.46 IPS |
|
|
Object Detection (SP)
|
100% |
1305
103.5 IPS |
|
|
Object Detection (HP)
|
100% |
1295
102.7 IPS |
|
|
Object Detection (Q)
|
85% |
1333
107.3 IPS |
|
|
Face Detection (SP)
|
100% |
2858
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
2895
34.4 IPS |
|
|
Face Detection (Q)
|
97% |
2770
33.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2534
19.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2586
19.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
2351
22.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3990
5.13 IPS |
|
|
Style Transfer (HP)
|
100% |
3952
5.08 IPS |
|
|
Style Transfer (Q)
|
98% |
6882
8.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1378
50.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1386
51.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1856
68.8 IPS |
|
|
Text Classification (SP)
|
100% |
1525
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
1476
1.97 KIPS |
|
|
Text Classification (Q)
|
92% |
773
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3136
54.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3098
53.4 IPS |
|
|
Machine Translation (Q)
|
58% |
694
16.3 IPS |
