AZW SER9-pve AZW SER9
Geekbench AI Score
2888
Single Precision Score
770
Half Precision Score
6716
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| User | sfm408 |
| Upload Date | April 12 2025 12:01 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| 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 | 23.03 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1163
216.3 IPS |
|
|
Image Classification (HP)
|
100% |
166
30.9 IPS |
|
|
Image Classification (Q)
|
97% |
6329
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1497
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
287
4.65 IPS |
|
|
Image Segmentation (Q)
|
99% |
2651
43.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8156
9.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
4504
5.26 IPS |
|
|
Pose Estimation (Q)
|
94% |
28277
33.2 IPS |
|
|
Object Detection (SP)
|
100% |
1481
117.4 IPS |
|
|
Object Detection (HP)
|
100% |
188
14.9 IPS |
|
|
Object Detection (Q)
|
86% |
7213
579.7 IPS |
|
|
Face Detection (SP)
|
100% |
2867
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
339
4.03 IPS |
|
|
Face Detection (Q)
|
97% |
12725
151.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6092
46.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
961
7.40 IPS |
|
|
Depth Estimation (Q)
|
78% |
13130
104.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16015
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
12830
16.5 IPS |
|
|
Style Transfer (Q)
|
98% |
30214
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2323
85.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1700
62.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3172
117.4 IPS |
|
|
Text Classification (SP)
|
100% |
1399
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
493
657.6 IPS |
|
|
Text Classification (Q)
|
97% |
1150
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
2118
36.5 IPS |
|
|
Machine Translation (HP)
|
100% |
525
9.05 IPS |
|
|
Machine Translation (Q)
|
65% |
2964
59.6 IPS |
