mini-ONNX-Radeon680M AZW SER
Geekbench AI Score
3263
Single Precision Score
4193
Half Precision Score
2543
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | myi2000 |
| Upload Date | August 01 2025 05:32 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | AZW SER |
| Motherboard | AZW SER |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 6800U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
956
177.8 IPS |
|
|
Image Classification (HP)
|
100% |
1335
248.2 IPS |
|
|
Image Classification (Q)
|
100% |
1089
202.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2201
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2148
34.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1820
29.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
19755
23.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
34448
40.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
14980
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1245
98.7 IPS |
|
|
Object Detection (HP)
|
100% |
1642
130.3 IPS |
|
|
Object Detection (Q)
|
87% |
1111
89.3 IPS |
|
|
Face Detection (SP)
|
100% |
3281
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
5137
61.0 IPS |
|
|
Face Detection (Q)
|
97% |
2777
33.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8261
63.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
10829
83.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
6518
52.3 IPS |
|
|
Style Transfer (SP)
|
100% |
33831
43.5 IPS |
|
|
Style Transfer (HP)
|
100% |
48348
62.2 IPS |
|
|
Style Transfer (Q)
|
98% |
23920
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4923
181.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6190
228.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3257
120.6 IPS |
|
|
Text Classification (SP)
|
100% |
556
741.8 IPS |
|
|
Text Classification (HP)
|
100% |
638
851.0 IPS |
|
|
Text Classification (Q)
|
97% |
357
478.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1056
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
976
16.8 IPS |
|
|
Machine Translation (Q)
|
70% |
682
12.8 IPS |
