AZW SER9-pve AZW SER9
Geekbench AI Score
136
Single Precision Score
136
Half Precision Score
95
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| User | sfm408 |
| Upload Date | April 12 2025 11:57 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| 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% |
80
14.9 IPS |
|
|
Image Classification (HP)
|
100% |
80
14.9 IPS |
|
|
Image Classification (Q)
|
97% |
60
11.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
109
1.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
109
1.77 IPS |
|
|
Image Segmentation (Q)
|
98% |
78
1.27 IPS |
|
|
Pose Estimation (SP)
|
100% |
129
0.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
129
0.15 IPS |
|
|
Pose Estimation (Q)
|
96% |
100
0.12 IPS |
|
|
Object Detection (SP)
|
100% |
76
6.05 IPS |
|
|
Object Detection (HP)
|
100% |
76
6.06 IPS |
|
|
Object Detection (Q)
|
87% |
57
4.58 IPS |
|
|
Face Detection (SP)
|
100% |
262
3.11 IPS |
|
|
Face Detection (HP)
|
100% |
262
3.11 IPS |
|
|
Face Detection (Q)
|
97% |
188
2.24 IPS |
|
|
Depth Estimation (SP)
|
100% |
182
1.40 IPS |
|
|
Depth Estimation (HP)
|
99% |
183
1.41 IPS |
|
|
Depth Estimation (Q)
|
64% |
116
1.07 IPS |
|
|
Style Transfer (SP)
|
100% |
387
0.50 IPS |
|
|
Style Transfer (HP)
|
100% |
388
0.50 IPS |
|
|
Style Transfer (Q)
|
98% |
302
0.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
83
3.05 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
83
3.05 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
63
2.32 IPS |
|
|
Text Classification (SP)
|
100% |
100
133.2 IPS |
|
|
Text Classification (HP)
|
100% |
100
133.4 IPS |
|
|
Text Classification (Q)
|
91% |
70
93.5 IPS |
|
|
Machine Translation (SP)
|
100% |
172
2.97 IPS |
|
|
Machine Translation (HP)
|
100% |
173
2.98 IPS |
|
|
Machine Translation (Q)
|
58% |
83
1.97 IPS |
