AZW SER9
Geekbench AI Score
2981
Single Precision Score
1534
Half Precision Score
5031
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 02:05 PM |
| Views | 3 |
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 (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% |
1360
253.0 IPS |
|
|
Image Classification (HP)
|
100% |
462
85.8 IPS |
|
|
Image Classification (Q)
|
99% |
3740
697.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
986
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
772
12.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3478
56.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8182
9.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
6368
7.43 IPS |
|
|
Pose Estimation (Q)
|
95% |
27765
32.5 IPS |
|
|
Object Detection (SP)
|
100% |
1713
135.9 IPS |
|
|
Object Detection (HP)
|
100% |
618
49.0 IPS |
|
|
Object Detection (Q)
|
88% |
1889
151.5 IPS |
|
|
Face Detection (SP)
|
100% |
3256
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
1358
16.1 IPS |
|
|
Face Detection (Q)
|
97% |
6222
74.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6689
51.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2501
19.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
6665
53.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17591
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
15565
20.0 IPS |
|
|
Style Transfer (Q)
|
98% |
31714
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2346
86.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2166
80.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3669
135.9 IPS |
|
|
Text Classification (SP)
|
100% |
1495
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
676
902.7 IPS |
|
|
Text Classification (Q)
|
97% |
1283
1.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
2196
37.8 IPS |
|
|
Machine Translation (HP)
|
100% |
668
11.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2464
55.0 IPS |
