AZW SER9
Geekbench AI Score
5014
Single Precision Score
5021
Half Precision Score
12704
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | alphapapaactual |
| Upload Date | November 16 2024 02:08 PM |
| Views | 3 |
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 |
| Power Plan | Balanserat |
| 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% |
2798
520.4 IPS |
|
|
Image Classification (HP)
|
100% |
2833
526.9 IPS |
|
|
Image Classification (Q)
|
100% |
7589
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2366
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2460
39.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7876
127.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8088
9.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
7424
8.66 IPS |
|
|
Pose Estimation (Q)
|
98% |
31483
36.9 IPS |
|
|
Object Detection (SP)
|
100% |
2959
234.7 IPS |
|
|
Object Detection (HP)
|
100% |
2905
230.4 IPS |
|
|
Object Detection (Q)
|
88% |
7962
638.3 IPS |
|
|
Face Detection (SP)
|
100% |
7999
95.0 IPS |
|
|
Face Detection (HP)
|
100% |
8179
97.2 IPS |
|
|
Face Detection (Q)
|
100% |
21216
252.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8864
68.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8698
67.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
21274
165.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21495
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
21391
27.5 IPS |
|
|
Style Transfer (Q)
|
98% |
80023
103.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4344
160.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4301
158.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13794
510.9 IPS |
|
|
Text Classification (SP)
|
100% |
2575
3.44 KIPS |
|
|
Text Classification (HP)
|
100% |
2514
3.36 KIPS |
|
|
Text Classification (Q)
|
92% |
3310
4.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3723
64.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4124
71.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4435
76.4 IPS |
