AZW SER
Geekbench AI Score
2816
Single Precision Score
1376
Half Precision Score
4710
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | xtoofur |
| Upload Date | December 21 2025 01:02 PM |
| Views | 6 |
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% |
2601
483.7 IPS |
|
|
Image Classification (HP)
|
100% |
547
101.6 IPS |
|
|
Image Classification (Q)
|
96% |
4463
833.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
730
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
468
7.59 IPS |
|
|
Image Segmentation (Q)
|
97% |
4114
66.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3176
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
4066
4.74 IPS |
|
|
Pose Estimation (Q)
|
86% |
9967
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
2232
177.0 IPS |
|
|
Object Detection (HP)
|
100% |
677
53.7 IPS |
|
|
Object Detection (Q)
|
58% |
2843
310.6 IPS |
|
|
Face Detection (SP)
|
100% |
3951
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
1378
16.4 IPS |
|
|
Face Detection (Q)
|
96% |
6886
82.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7012
54.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2133
16.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
9366
74.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11603
14.9 IPS |
|
|
Style Transfer (HP)
|
100% |
9680
12.4 IPS |
|
|
Style Transfer (Q)
|
87% |
14068
18.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2059
76.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1790
66.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3785
140.2 IPS |
|
|
Text Classification (SP)
|
100% |
1872
2.50 KIPS |
|
|
Text Classification (HP)
|
100% |
905
1.21 KIPS |
|
|
Text Classification (Q)
|
97% |
1389
1.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
1883
32.4 IPS |
|
|
Machine Translation (HP)
|
100% |
753
13.0 IPS |
|
|
Machine Translation (Q)
|
68% |
2167
41.9 IPS |
