AZW SER9
Geekbench AI Score
2825
Single Precision Score
1551
Half Precision Score
4857
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | alphapapaactual |
| Upload Date | November 16 2024 02:04 PM |
| Views | 5 |
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 |
| Power Plan | Balanserat |
| 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% |
1565
291.0 IPS |
|
|
Image Classification (HP)
|
100% |
556
103.4 IPS |
|
|
Image Classification (Q)
|
99% |
4225
788.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
951
15.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
848
13.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3107
50.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6752
7.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
6210
7.25 IPS |
|
|
Pose Estimation (Q)
|
95% |
27141
31.8 IPS |
|
|
Object Detection (SP)
|
100% |
1888
149.7 IPS |
|
|
Object Detection (HP)
|
100% |
720
57.1 IPS |
|
|
Object Detection (Q)
|
88% |
2131
170.8 IPS |
|
|
Face Detection (SP)
|
100% |
3042
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
1419
16.9 IPS |
|
|
Face Detection (Q)
|
97% |
6055
72.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6650
51.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2275
17.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
5874
47.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14730
18.9 IPS |
|
|
Style Transfer (HP)
|
100% |
14452
18.6 IPS |
|
|
Style Transfer (Q)
|
98% |
29859
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2189
80.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1969
72.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3045
112.7 IPS |
|
|
Text Classification (SP)
|
100% |
1355
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
684
912.5 IPS |
|
|
Text Classification (Q)
|
97% |
1344
1.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1936
33.4 IPS |
|
|
Machine Translation (HP)
|
100% |
611
10.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2217
49.4 IPS |
