AZW SER9
Geekbench AI Score
2172
Single Precision Score
2166
Half Precision Score
1679
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | vkuusk |
| Upload Date | February 23 2025 03:37 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | AZW SER9 |
| Motherboard | AZW SER9 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 4.37 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 27.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1335
248.3 IPS |
|
|
Image Classification (HP)
|
100% |
1370
254.7 IPS |
|
|
Image Classification (Q)
|
99% |
1155
215.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2055
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1974
32.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1138
18.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3303
3.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
3191
3.72 IPS |
|
|
Pose Estimation (Q)
|
96% |
3755
4.40 IPS |
|
|
Object Detection (SP)
|
100% |
1411
112.0 IPS |
|
|
Object Detection (HP)
|
100% |
1406
111.5 IPS |
|
|
Object Detection (Q)
|
85% |
1289
103.7 IPS |
|
|
Face Detection (SP)
|
100% |
3063
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
3035
36.1 IPS |
|
|
Face Detection (Q)
|
97% |
2540
30.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2582
19.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2573
19.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
1988
18.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3892
5.00 IPS |
|
|
Style Transfer (HP)
|
100% |
3915
5.03 IPS |
|
|
Style Transfer (Q)
|
98% |
6570
8.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1362
50.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1370
50.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1829
67.8 IPS |
|
|
Text Classification (SP)
|
100% |
1465
1.96 KIPS |
|
|
Text Classification (HP)
|
100% |
1468
1.96 KIPS |
|
|
Text Classification (Q)
|
92% |
730
980.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2985
51.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3047
52.5 IPS |
|
|
Machine Translation (Q)
|
58% |
634
14.9 IPS |
