AZW SER9
Geekbench AI Score
3003
Single Precision Score
1547
Half Precision Score
4886
Quantized Score
Geekbench AI 1.1.0 Pro for Windows AVX2
Result Information
| User | SlippingStaff |
| Upload Date | December 01 2024 04:26 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| 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% |
1378
256.3 IPS |
|
|
Image Classification (HP)
|
100% |
506
94.1 IPS |
|
|
Image Classification (Q)
|
99% |
3641
679.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1078
17.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
769
12.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3132
50.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8391
9.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
6425
7.50 IPS |
|
|
Pose Estimation (Q)
|
95% |
27828
32.6 IPS |
|
|
Object Detection (SP)
|
100% |
1664
132.0 IPS |
|
|
Object Detection (HP)
|
100% |
640
50.7 IPS |
|
|
Object Detection (Q)
|
88% |
1940
155.5 IPS |
|
|
Face Detection (SP)
|
100% |
3257
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
1372
16.3 IPS |
|
|
Face Detection (Q)
|
97% |
4952
59.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6864
52.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2478
19.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
6336
50.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17411
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
15487
19.9 IPS |
|
|
Style Transfer (Q)
|
98% |
31772
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2444
90.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2132
78.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3791
140.4 IPS |
|
|
Text Classification (SP)
|
100% |
1429
1.91 KIPS |
|
|
Text Classification (HP)
|
100% |
670
894.6 IPS |
|
|
Text Classification (Q)
|
97% |
1164
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
2122
36.5 IPS |
|
|
Machine Translation (HP)
|
100% |
655
11.3 IPS |
|
|
Machine Translation (Q)
|
60% |
2869
64.0 IPS |
