AZW SER9
Geekbench AI Score
5189
Single Precision Score
5144
Half Precision Score
13298
Quantized Score
Geekbench AI 1.1.0 Pro for Windows AVX2
Result Information
| User | SlippingStaff |
| Upload Date | December 01 2024 04:35 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
3032
563.9 IPS |
|
|
Image Classification (HP)
|
100% |
2872
534.1 IPS |
|
|
Image Classification (Q)
|
100% |
7903
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2273
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2278
36.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8207
133.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8375
9.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
8379
9.78 IPS |
|
|
Pose Estimation (Q)
|
98% |
32683
38.3 IPS |
|
|
Object Detection (SP)
|
100% |
3211
254.7 IPS |
|
|
Object Detection (HP)
|
100% |
3052
242.1 IPS |
|
|
Object Detection (Q)
|
88% |
8758
702.0 IPS |
|
|
Face Detection (SP)
|
100% |
8640
102.7 IPS |
|
|
Face Detection (HP)
|
100% |
8759
104.1 IPS |
|
|
Face Detection (Q)
|
100% |
21964
261.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8904
68.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8954
69.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
22269
173.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22361
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
22393
28.8 IPS |
|
|
Style Transfer (Q)
|
98% |
82322
106.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4412
162.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4419
163.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14722
545.2 IPS |
|
|
Text Classification (SP)
|
100% |
2688
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
2603
3.47 KIPS |
|
|
Text Classification (Q)
|
92% |
3300
4.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3747
64.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3840
66.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4763
82.0 IPS |
