AZW SER9
Geekbench AI Score
5218
Single Precision Score
5179
Half Precision Score
13028
Quantized Score
Geekbench AI 1.1.0 Pro for Windows AVX2
Result Information
| User | SlippingStaff |
| Upload Date | December 01 2024 04:56 PM |
| Views | 9 |
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% |
3042
565.7 IPS |
|
|
Image Classification (HP)
|
100% |
3012
560.2 IPS |
|
|
Image Classification (Q)
|
100% |
7937
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2360
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2295
37.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7424
120.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8313
9.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
8305
9.69 IPS |
|
|
Pose Estimation (Q)
|
98% |
32737
38.3 IPS |
|
|
Object Detection (SP)
|
100% |
3124
247.8 IPS |
|
|
Object Detection (HP)
|
100% |
3101
246.0 IPS |
|
|
Object Detection (Q)
|
88% |
8672
695.2 IPS |
|
|
Face Detection (SP)
|
100% |
8877
105.5 IPS |
|
|
Face Detection (HP)
|
100% |
8716
103.6 IPS |
|
|
Face Detection (Q)
|
100% |
22394
266.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9032
69.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8922
68.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
22550
175.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22412
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
22357
28.7 IPS |
|
|
Style Transfer (Q)
|
98% |
82774
106.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4457
164.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4486
165.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14327
530.6 IPS |
|
|
Text Classification (SP)
|
100% |
2662
3.55 KIPS |
|
|
Text Classification (HP)
|
100% |
2651
3.54 KIPS |
|
|
Text Classification (Q)
|
92% |
3192
4.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3768
64.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3777
65.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4406
75.9 IPS |
