AZW SER9
Geekbench AI Score
134
Single Precision Score
134
Half Precision Score
102
Quantized Score
Geekbench AI 1.5.0 for Linux x86 (64-bit)
Result Information
| User | Light_Foot |
| Upload Date | November 30 2025 02:25 PM |
| Views | 3 |
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 | 5.16 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 26.97 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
79
14.7 IPS |
|
|
Image Classification (HP)
|
100% |
78
14.6 IPS |
|
|
Image Classification (Q)
|
97% |
65
12.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
108
1.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
106
1.72 IPS |
|
|
Image Segmentation (Q)
|
98% |
85
1.39 IPS |
|
|
Pose Estimation (SP)
|
100% |
127
0.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
127
0.15 IPS |
|
|
Pose Estimation (Q)
|
96% |
108
0.13 IPS |
|
|
Object Detection (SP)
|
100% |
75
5.93 IPS |
|
|
Object Detection (HP)
|
100% |
75
5.93 IPS |
|
|
Object Detection (Q)
|
87% |
62
4.94 IPS |
|
|
Face Detection (SP)
|
100% |
253
3.00 IPS |
|
|
Face Detection (HP)
|
100% |
253
3.00 IPS |
|
|
Face Detection (Q)
|
97% |
202
2.41 IPS |
|
|
Depth Estimation (SP)
|
100% |
180
1.39 IPS |
|
|
Depth Estimation (HP)
|
99% |
180
1.39 IPS |
|
|
Depth Estimation (Q)
|
64% |
125
1.15 IPS |
|
|
Style Transfer (SP)
|
100% |
383
0.49 IPS |
|
|
Style Transfer (HP)
|
100% |
381
0.49 IPS |
|
|
Style Transfer (Q)
|
98% |
325
0.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
82
3.01 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
82
3.02 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
67
2.50 IPS |
|
|
Text Classification (SP)
|
100% |
99
131.9 IPS |
|
|
Text Classification (HP)
|
100% |
99
131.8 IPS |
|
|
Text Classification (Q)
|
91% |
74
100.0 IPS |
|
|
Machine Translation (SP)
|
100% |
172
2.96 IPS |
|
|
Machine Translation (HP)
|
100% |
172
2.95 IPS |
|
|
Machine Translation (Q)
|
58% |
88
2.10 IPS |
