AZW SER
Geekbench AI Score
1878
Single Precision Score
892
Half Precision Score
3333
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | flark |
| Upload Date | October 13 2025 04:38 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 6800H |
| 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 6800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1513
281.4 IPS |
|
|
Image Classification (HP)
|
100% |
366
68.0 IPS |
|
|
Image Classification (Q)
|
96% |
2924
545.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
536
8.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
310
5.02 IPS |
|
|
Image Segmentation (Q)
|
97% |
3879
63.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2770
3.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
2493
2.91 IPS |
|
|
Pose Estimation (Q)
|
86% |
6587
7.79 IPS |
|
|
Object Detection (SP)
|
100% |
1450
115.0 IPS |
|
|
Object Detection (HP)
|
100% |
441
35.0 IPS |
|
|
Object Detection (Q)
|
58% |
1782
194.7 IPS |
|
|
Face Detection (SP)
|
100% |
3017
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
944
11.2 IPS |
|
|
Face Detection (Q)
|
96% |
4836
57.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3776
29.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1365
10.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
6242
49.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7624
9.80 IPS |
|
|
Style Transfer (HP)
|
100% |
6396
8.22 IPS |
|
|
Style Transfer (Q)
|
87% |
10571
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1323
48.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1185
43.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2462
91.2 IPS |
|
|
Text Classification (SP)
|
100% |
1057
1.41 KIPS |
|
|
Text Classification (HP)
|
100% |
627
837.1 IPS |
|
|
Text Classification (Q)
|
97% |
998
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1382
23.8 IPS |
|
|
Machine Translation (HP)
|
100% |
421
7.26 IPS |
|
|
Machine Translation (Q)
|
68% |
1625
31.4 IPS |
