AZW SER9-pve AZW SER9
Geekbench AI Score
6018
Single Precision Score
6037
Half Precision Score
16082
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| User | sfm408 |
| Upload Date | April 12 2025 12:36 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 | Debian GNU/Linux 12 (bookworm) |
| 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 | 4.37 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 23.03 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3307
615.0 IPS |
|
|
Image Classification (HP)
|
100% |
3302
614.0 IPS |
|
|
Image Classification (Q)
|
100% |
9683
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4447
72.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4447
72.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
12642
204.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8590
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
8596
10.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
33625
39.4 IPS |
|
|
Object Detection (SP)
|
100% |
3316
263.0 IPS |
|
|
Object Detection (HP)
|
100% |
3313
262.8 IPS |
|
|
Object Detection (Q)
|
88% |
10189
816.8 IPS |
|
|
Face Detection (SP)
|
100% |
9430
112.1 IPS |
|
|
Face Detection (HP)
|
100% |
9443
112.2 IPS |
|
|
Face Detection (Q)
|
100% |
25071
297.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9669
74.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9662
74.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
27431
213.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23051
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
23056
29.6 IPS |
|
|
Style Transfer (Q)
|
98% |
86693
111.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4750
175.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4775
176.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15387
569.9 IPS |
|
|
Text Classification (SP)
|
100% |
2868
3.83 KIPS |
|
|
Text Classification (HP)
|
100% |
2979
3.98 KIPS |
|
|
Text Classification (Q)
|
92% |
4430
5.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
5199
89.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5143
88.6 IPS |
|
|
Machine Translation (Q)
|
100% |
6791
117.0 IPS |
