AZW SER9
Geekbench AI Score
9316
Single Precision Score
13478
Half Precision Score
6740
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 25 2024 03:26 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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% |
3597
668.9 IPS |
|
|
Image Classification (HP)
|
100% |
5684
1.06 KIPS |
|
|
Image Classification (Q)
|
100% |
3103
577.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4886
79.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5642
91.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3981
64.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
50113
58.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
84849
99.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
36947
43.3 IPS |
|
|
Object Detection (SP)
|
100% |
2587
205.2 IPS |
|
|
Object Detection (HP)
|
100% |
4420
350.6 IPS |
|
|
Object Detection (Q)
|
87% |
2383
191.4 IPS |
|
|
Face Detection (SP)
|
100% |
6811
80.9 IPS |
|
|
Face Detection (HP)
|
100% |
11719
139.3 IPS |
|
|
Face Detection (Q)
|
97% |
5832
69.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
20713
159.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
32128
247.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
15243
122.2 IPS |
|
|
Style Transfer (SP)
|
100% |
85534
110.0 IPS |
|
|
Style Transfer (HP)
|
100% |
137777
177.1 IPS |
|
|
Style Transfer (Q)
|
98% |
58161
75.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16170
597.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23184
856.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10431
386.3 IPS |
|
|
Text Classification (SP)
|
100% |
2866
3.82 KIPS |
|
|
Text Classification (HP)
|
100% |
3165
4.22 KIPS |
|
|
Text Classification (Q)
|
97% |
1986
2.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3866
66.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4323
74.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1661
31.2 IPS |
