AZW SER9
Geekbench AI Score
5311
Single Precision Score
5290
Half Precision Score
13805
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 09 2024 03:15 PM |
| Views | 1 |
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% |
3445
640.7 IPS |
|
|
Image Classification (HP)
|
100% |
3130
582.1 IPS |
|
|
Image Classification (Q)
|
100% |
8689
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2169
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2297
37.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
8323
134.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8327
9.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
8168
9.53 IPS |
|
|
Pose Estimation (Q)
|
98% |
32654
38.2 IPS |
|
|
Object Detection (SP)
|
100% |
3506
278.1 IPS |
|
|
Object Detection (HP)
|
100% |
3424
271.6 IPS |
|
|
Object Detection (Q)
|
88% |
9509
762.3 IPS |
|
|
Face Detection (SP)
|
100% |
7747
92.1 IPS |
|
|
Face Detection (HP)
|
100% |
8381
99.6 IPS |
|
|
Face Detection (Q)
|
100% |
24498
291.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9640
74.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
10068
77.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
24391
189.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22708
29.2 IPS |
|
|
Style Transfer (HP)
|
100% |
22617
29.1 IPS |
|
|
Style Transfer (Q)
|
98% |
83780
108.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4600
169.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4623
170.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15279
565.8 IPS |
|
|
Text Classification (SP)
|
100% |
2926
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
2627
3.51 KIPS |
|
|
Text Classification (Q)
|
92% |
3575
4.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3589
61.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3683
63.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4097
70.6 IPS |
