AZW SER9
Geekbench AI Score
135
Single Precision Score
135
Half Precision Score
102
Quantized Score
Geekbench AI 1.2.0 for Linux x86 (64-bit)
Result Information
| Upload Date | January 09 2025 09:24 AM |
| Views | 12 |
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 | 5.16 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 23.08 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
79
14.8 IPS |
|
|
Image Classification (HP)
|
100% |
79
14.7 IPS |
|
|
Image Classification (Q)
|
97% |
64
12.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
108
1.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
108
1.76 IPS |
|
|
Image Segmentation (Q)
|
98% |
84
1.37 IPS |
|
|
Pose Estimation (SP)
|
100% |
129
0.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
128
0.15 IPS |
|
|
Pose Estimation (Q)
|
96% |
108
0.13 IPS |
|
|
Object Detection (SP)
|
100% |
76
6.01 IPS |
|
|
Object Detection (HP)
|
100% |
75
5.98 IPS |
|
|
Object Detection (Q)
|
87% |
61
4.89 IPS |
|
|
Face Detection (SP)
|
100% |
258
3.06 IPS |
|
|
Face Detection (HP)
|
100% |
256
3.05 IPS |
|
|
Face Detection (Q)
|
97% |
202
2.41 IPS |
|
|
Depth Estimation (SP)
|
100% |
182
1.40 IPS |
|
|
Depth Estimation (HP)
|
99% |
182
1.40 IPS |
|
|
Depth Estimation (Q)
|
64% |
125
1.15 IPS |
|
|
Style Transfer (SP)
|
100% |
388
0.50 IPS |
|
|
Style Transfer (HP)
|
100% |
388
0.50 IPS |
|
|
Style Transfer (Q)
|
98% |
325
0.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
83
3.05 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
83
3.05 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
68
2.52 IPS |
|
|
Text Classification (SP)
|
100% |
99
131.7 IPS |
|
|
Text Classification (HP)
|
100% |
99
132.0 IPS |
|
|
Text Classification (Q)
|
91% |
74
99.4 IPS |
|
|
Machine Translation (SP)
|
100% |
172
2.96 IPS |
|
|
Machine Translation (HP)
|
100% |
172
2.96 IPS |
|
|
Machine Translation (Q)
|
58% |
88
2.11 IPS |
