mini-ONNX-cpu AZW SER
Geekbench AI Score
3033
Single Precision Score
1361
Half Precision Score
4885
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | myi2000 |
| Upload Date | August 01 2025 05:43 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 6800U |
| 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% |
2703
502.6 IPS |
|
|
Image Classification (HP)
|
100% |
527
98.1 IPS |
|
|
Image Classification (Q)
|
96% |
4374
816.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
740
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
464
7.52 IPS |
|
|
Image Segmentation (Q)
|
97% |
5057
82.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5337
6.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
4180
4.88 IPS |
|
|
Pose Estimation (Q)
|
86% |
10102
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
2422
192.1 IPS |
|
|
Object Detection (HP)
|
100% |
646
51.2 IPS |
|
|
Object Detection (Q)
|
58% |
2944
321.7 IPS |
|
|
Face Detection (SP)
|
100% |
4060
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
1358
16.1 IPS |
|
|
Face Detection (Q)
|
96% |
6997
83.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7229
55.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1985
15.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
9379
74.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11957
15.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10352
13.3 IPS |
|
|
Style Transfer (Q)
|
87% |
14250
18.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2168
80.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1850
68.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3887
144.0 IPS |
|
|
Text Classification (SP)
|
100% |
1669
2.23 KIPS |
|
|
Text Classification (HP)
|
100% |
842
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
1443
1.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2007
34.6 IPS |
|
|
Machine Translation (HP)
|
100% |
765
13.2 IPS |
|
|
Machine Translation (Q)
|
68% |
2245
43.4 IPS |
