AZW SER9
Geekbench AI Score
8728
Single Precision Score
12899
Half Precision Score
5924
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | ishad0w |
| Upload Date | November 27 2024 04:11 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | AZW SER9 |
| Motherboard | AZW SER9 |
| Power Plan | Balanced |
| 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 | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3151
586.1 IPS |
|
|
Image Classification (HP)
|
100% |
5474
1.02 KIPS |
|
|
Image Classification (Q)
|
100% |
1921
357.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4899
79.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5970
96.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4042
65.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
53190
62.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
90201
105.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
37248
43.6 IPS |
|
|
Object Detection (SP)
|
100% |
2438
193.3 IPS |
|
|
Object Detection (HP)
|
100% |
3277
260.0 IPS |
|
|
Object Detection (Q)
|
89% |
2013
161.1 IPS |
|
|
Face Detection (SP)
|
100% |
6638
78.9 IPS |
|
|
Face Detection (HP)
|
100% |
10940
130.0 IPS |
|
|
Face Detection (Q)
|
97% |
5211
62.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
19027
146.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
27414
211.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
14651
118.1 IPS |
|
|
Style Transfer (SP)
|
100% |
84558
108.7 IPS |
|
|
Style Transfer (HP)
|
100% |
140983
181.2 IPS |
|
|
Style Transfer (Q)
|
98% |
59066
76.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13380
494.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24077
889.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7646
283.1 IPS |
|
|
Text Classification (SP)
|
100% |
2757
3.68 KIPS |
|
|
Text Classification (HP)
|
100% |
2960
3.95 KIPS |
|
|
Text Classification (Q)
|
97% |
1958
2.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3256
56.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4384
75.5 IPS |
|
|
Machine Translation (Q)
|
60% |
1355
30.2 IPS |
