AZW SER9
Geekbench AI Score
8073
Single Precision Score
12380
Half Precision Score
5848
Quantized Score
Geekbench AI 1.1.0 Pro for Windows AVX2
Result Information
| User | SlippingStaff |
| Upload Date | December 01 2024 04:33 PM |
| 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 |
| 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% |
2482
461.6 IPS |
|
|
Image Classification (HP)
|
100% |
5138
955.5 IPS |
|
|
Image Classification (Q)
|
100% |
2188
406.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4653
75.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5816
94.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3873
63.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
51424
60.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
84384
98.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
36898
43.2 IPS |
|
|
Object Detection (SP)
|
100% |
2320
184.1 IPS |
|
|
Object Detection (HP)
|
100% |
3319
263.2 IPS |
|
|
Object Detection (Q)
|
89% |
1935
154.9 IPS |
|
|
Face Detection (SP)
|
100% |
6324
75.1 IPS |
|
|
Face Detection (HP)
|
100% |
10587
125.8 IPS |
|
|
Face Detection (Q)
|
97% |
4972
59.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18689
144.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
26754
206.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
13966
112.6 IPS |
|
|
Style Transfer (SP)
|
100% |
84305
108.4 IPS |
|
|
Style Transfer (HP)
|
100% |
132690
170.6 IPS |
|
|
Style Transfer (Q)
|
98% |
57939
74.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12467
460.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22735
839.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7879
291.8 IPS |
|
|
Text Classification (SP)
|
100% |
2639
3.52 KIPS |
|
|
Text Classification (HP)
|
100% |
2852
3.81 KIPS |
|
|
Text Classification (Q)
|
97% |
1888
2.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
2605
44.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4149
71.5 IPS |
|
|
Machine Translation (Q)
|
60% |
1293
28.8 IPS |
