AZW SER9
Geekbench AI Score
5227
Single Precision Score
5157
Half Precision Score
13185
Quantized Score
Geekbench AI 1.1.0 Pro for Windows AVX2
Result Information
| User | SlippingStaff |
| Upload Date | December 01 2024 04:37 PM |
| Views | 4 |
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% |
2936
545.9 IPS |
|
|
Image Classification (HP)
|
100% |
2953
549.2 IPS |
|
|
Image Classification (Q)
|
100% |
7982
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2392
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2259
36.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7372
119.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8341
9.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
8317
9.71 IPS |
|
|
Pose Estimation (Q)
|
98% |
32647
38.2 IPS |
|
|
Object Detection (SP)
|
100% |
3062
242.9 IPS |
|
|
Object Detection (HP)
|
100% |
3067
243.3 IPS |
|
|
Object Detection (Q)
|
88% |
8697
697.2 IPS |
|
|
Face Detection (SP)
|
100% |
9073
107.8 IPS |
|
|
Face Detection (HP)
|
100% |
8738
103.8 IPS |
|
|
Face Detection (Q)
|
100% |
22301
265.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8922
68.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8877
68.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
22870
177.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22310
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
22392
28.8 IPS |
|
|
Style Transfer (Q)
|
98% |
82824
106.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4505
166.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4364
161.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14617
541.3 IPS |
|
|
Text Classification (SP)
|
100% |
2670
3.56 KIPS |
|
|
Text Classification (HP)
|
100% |
2673
3.57 KIPS |
|
|
Text Classification (Q)
|
92% |
3317
4.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3912
67.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3866
66.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4641
80.0 IPS |
