AZW SER9
Geekbench AI Score
9156
Single Precision Score
14386
Half Precision Score
6627
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 11 2025 04:00 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | AZW SER9 |
| Motherboard | AZW SER9 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3605
670.5 IPS |
|
|
Image Classification (HP)
|
100% |
5691
1.06 KIPS |
|
|
Image Classification (Q)
|
100% |
3256
605.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4943
80.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6195
100.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4100
66.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
48956
57.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
101080
117.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
36741
43.0 IPS |
|
|
Object Detection (SP)
|
100% |
2402
190.6 IPS |
|
|
Object Detection (HP)
|
100% |
4688
371.8 IPS |
|
|
Object Detection (Q)
|
87% |
2438
195.8 IPS |
|
|
Face Detection (SP)
|
100% |
7134
84.8 IPS |
|
|
Face Detection (HP)
|
100% |
12281
145.9 IPS |
|
|
Face Detection (Q)
|
97% |
6018
71.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20071
154.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
29949
230.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
15578
124.9 IPS |
|
|
Style Transfer (SP)
|
100% |
82289
105.8 IPS |
|
|
Style Transfer (HP)
|
100% |
141172
181.5 IPS |
|
|
Style Transfer (Q)
|
98% |
58065
74.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15893
586.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29344
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
8465
313.5 IPS |
|
|
Text Classification (SP)
|
100% |
2616
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
3174
4.24 KIPS |
|
|
Text Classification (Q)
|
97% |
1821
2.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
4037
69.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4702
81.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1629
30.6 IPS |
