AZW SER9
Geekbench AI Score
9327
Single Precision Score
13490
Half Precision Score
6470
Quantized Score
Geekbench AI 1.1.0 Pro for Windows AVX2
Result Information
| User | SlippingStaff |
| Upload Date | December 01 2024 04:54 PM |
| Views | 7 |
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 |
| 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% |
3157
587.2 IPS |
|
|
Image Classification (HP)
|
100% |
5139
955.7 IPS |
|
|
Image Classification (Q)
|
100% |
2662
495.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4828
78.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5965
96.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3904
63.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
54085
63.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
94341
110.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
37923
44.4 IPS |
|
|
Object Detection (SP)
|
100% |
2716
215.5 IPS |
|
|
Object Detection (HP)
|
100% |
4303
341.3 IPS |
|
|
Object Detection (Q)
|
89% |
2251
180.2 IPS |
|
|
Face Detection (SP)
|
100% |
6560
77.9 IPS |
|
|
Face Detection (HP)
|
100% |
11807
140.3 IPS |
|
|
Face Detection (Q)
|
97% |
5214
62.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
21487
165.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
32294
248.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
15542
125.3 IPS |
|
|
Style Transfer (SP)
|
100% |
93295
119.9 IPS |
|
|
Style Transfer (HP)
|
100% |
156198
200.8 IPS |
|
|
Style Transfer (Q)
|
98% |
61767
79.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16037
592.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22679
837.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10336
382.7 IPS |
|
|
Text Classification (SP)
|
100% |
2812
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
2840
3.79 KIPS |
|
|
Text Classification (Q)
|
97% |
1860
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3756
64.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4184
72.1 IPS |
|
|
Machine Translation (Q)
|
60% |
1506
33.6 IPS |
