AZW SER9
Geekbench AI Score
139
Single Precision Score
139
Half Precision Score
98
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| User | Light_Foot |
| Upload Date | May 08 2025 02:07 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| System Information | |
|---|---|
| Operating System | Fedora Linux 42 (Workstation Edition) |
| 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 | 27.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
84
15.7 IPS |
|
|
Image Classification (HP)
|
100% |
82
15.2 IPS |
|
|
Image Classification (Q)
|
97% |
62
11.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
111
1.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
111
1.80 IPS |
|
|
Image Segmentation (Q)
|
98% |
81
1.32 IPS |
|
|
Pose Estimation (SP)
|
100% |
132
0.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
131
0.15 IPS |
|
|
Pose Estimation (Q)
|
96% |
103
0.12 IPS |
|
|
Object Detection (SP)
|
100% |
78
6.17 IPS |
|
|
Object Detection (HP)
|
100% |
78
6.17 IPS |
|
|
Object Detection (Q)
|
87% |
58
4.67 IPS |
|
|
Face Detection (SP)
|
100% |
265
3.15 IPS |
|
|
Face Detection (HP)
|
100% |
266
3.16 IPS |
|
|
Face Detection (Q)
|
97% |
196
2.33 IPS |
|
|
Depth Estimation (SP)
|
100% |
187
1.44 IPS |
|
|
Depth Estimation (HP)
|
99% |
187
1.44 IPS |
|
|
Depth Estimation (Q)
|
64% |
119
1.10 IPS |
|
|
Style Transfer (SP)
|
100% |
395
0.51 IPS |
|
|
Style Transfer (HP)
|
100% |
396
0.51 IPS |
|
|
Style Transfer (Q)
|
98% |
310
0.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
85
3.13 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
85
3.13 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
65
2.39 IPS |
|
|
Text Classification (SP)
|
100% |
101
134.8 IPS |
|
|
Text Classification (HP)
|
100% |
100
134.1 IPS |
|
|
Text Classification (Q)
|
91% |
71
95.3 IPS |
|
|
Machine Translation (SP)
|
100% |
177
3.04 IPS |
|
|
Machine Translation (HP)
|
100% |
176
3.03 IPS |
|
|
Machine Translation (Q)
|
58% |
83
1.99 IPS |
