AZW SER9
Geekbench AI Score
8625
Single Precision Score
12371
Half Precision Score
5791
Quantized Score
Geekbench AI 1.1.0 Pro for Windows AVX2
Result Information
| User | SlippingStaff |
| Upload Date | December 01 2024 04:28 PM |
| Views | 4 |
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% |
3082
573.2 IPS |
|
|
Image Classification (HP)
|
100% |
5139
955.6 IPS |
|
|
Image Classification (Q)
|
100% |
1898
353.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4664
75.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5692
92.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3875
63.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
50568
59.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
83625
97.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
37134
43.5 IPS |
|
|
Object Detection (SP)
|
100% |
2303
182.7 IPS |
|
|
Object Detection (HP)
|
100% |
3447
273.5 IPS |
|
|
Object Detection (Q)
|
89% |
1931
154.6 IPS |
|
|
Face Detection (SP)
|
100% |
6331
75.2 IPS |
|
|
Face Detection (HP)
|
100% |
10640
126.4 IPS |
|
|
Face Detection (Q)
|
97% |
4959
59.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
18551
142.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
26123
201.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
13973
112.7 IPS |
|
|
Style Transfer (SP)
|
100% |
84159
108.2 IPS |
|
|
Style Transfer (HP)
|
100% |
132883
170.8 IPS |
|
|
Style Transfer (Q)
|
98% |
58294
75.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14128
521.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22620
835.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7836
290.2 IPS |
|
|
Text Classification (SP)
|
100% |
2639
3.52 KIPS |
|
|
Text Classification (HP)
|
100% |
2932
3.91 KIPS |
|
|
Text Classification (Q)
|
97% |
1961
2.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3696
63.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4067
70.1 IPS |
|
|
Machine Translation (Q)
|
60% |
1296
28.9 IPS |
