AZW SER9
Geekbench AI Score
9613
Single Precision Score
15157
Half Precision Score
7082
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 03 2025 04:18 AM |
| Views | 6 |
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 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% |
3563
662.7 IPS |
|
|
Image Classification (HP)
|
100% |
5644
1.05 KIPS |
|
|
Image Classification (Q)
|
100% |
3240
602.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4907
79.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6170
100.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4023
65.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
51740
60.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
109643
127.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
37861
44.3 IPS |
|
|
Object Detection (SP)
|
100% |
2845
225.7 IPS |
|
|
Object Detection (HP)
|
100% |
4570
362.5 IPS |
|
|
Object Detection (Q)
|
87% |
2410
193.6 IPS |
|
|
Face Detection (SP)
|
100% |
7715
91.7 IPS |
|
|
Face Detection (HP)
|
100% |
13773
163.7 IPS |
|
|
Face Detection (Q)
|
97% |
6365
75.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
22797
175.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
36383
280.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
17260
138.4 IPS |
|
|
Style Transfer (SP)
|
100% |
86751
111.5 IPS |
|
|
Style Transfer (HP)
|
100% |
165965
213.4 IPS |
|
|
Style Transfer (Q)
|
98% |
62187
80.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15974
589.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28805
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
10762
398.5 IPS |
|
|
Text Classification (SP)
|
100% |
2572
3.43 KIPS |
|
|
Text Classification (HP)
|
100% |
3259
4.35 KIPS |
|
|
Text Classification (Q)
|
97% |
1791
2.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
4178
72.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4699
80.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2027
38.0 IPS |
