AZW SER9
Geekbench AI Score
2727
Single Precision Score
1501
Half Precision Score
5005
Quantized Score
Geekbench AI 1.1.0 Pro for Windows AVX2
Result Information
| User | SlippingStaff |
| Upload Date | December 01 2024 04:31 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 |
| 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% |
1358
252.6 IPS |
|
|
Image Classification (HP)
|
100% |
515
95.8 IPS |
|
|
Image Classification (Q)
|
99% |
3796
707.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
905
14.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
770
12.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3009
48.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6386
7.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
5235
6.11 IPS |
|
|
Pose Estimation (Q)
|
95% |
27600
32.3 IPS |
|
|
Object Detection (SP)
|
100% |
1686
133.7 IPS |
|
|
Object Detection (HP)
|
100% |
644
51.1 IPS |
|
|
Object Detection (Q)
|
88% |
1860
149.1 IPS |
|
|
Face Detection (SP)
|
100% |
3037
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
1473
17.5 IPS |
|
|
Face Detection (Q)
|
97% |
6057
72.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6050
46.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2493
19.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
6316
50.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17481
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
15458
19.9 IPS |
|
|
Style Transfer (Q)
|
98% |
31751
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2033
75.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1949
72.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3543
131.2 IPS |
|
|
Text Classification (SP)
|
100% |
1334
1.78 KIPS |
|
|
Text Classification (HP)
|
100% |
583
777.9 IPS |
|
|
Text Classification (Q)
|
97% |
1390
1.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
1979
34.1 IPS |
|
|
Machine Translation (HP)
|
100% |
676
11.7 IPS |
|
|
Machine Translation (Q)
|
60% |
2815
62.8 IPS |
