AZW SER
Geekbench AI Score
2348
Single Precision Score
624
Half Precision Score
4142
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | flark |
| Upload Date | October 14 2025 10:36 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 6800H |
| System Information | |
|---|---|
| Operating System | EndeavourOS |
| Model | AZW SER |
| Motherboard | AZW SER |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 6800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 4.79 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 27.18 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2136
397.3 IPS |
|
|
Image Classification (HP)
|
100% |
144
26.7 IPS |
|
|
Image Classification (Q)
|
94% |
4819
900.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
572
9.28 IPS |
|
|
Image Segmentation (HP)
|
100% |
162
2.62 IPS |
|
|
Image Segmentation (Q)
|
98% |
2216
36.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5849
6.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
2854
3.33 IPS |
|
|
Pose Estimation (Q)
|
86% |
9626
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1433
113.7 IPS |
|
|
Object Detection (HP)
|
100% |
180
14.3 IPS |
|
|
Object Detection (Q)
|
58% |
2982
325.8 IPS |
|
|
Face Detection (SP)
|
100% |
2056
24.4 IPS |
|
|
Face Detection (HP)
|
100% |
278
3.30 IPS |
|
|
Face Detection (Q)
|
96% |
9000
107.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6710
51.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1213
9.34 IPS |
|
|
Depth Estimation (Q)
|
78% |
7600
60.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8638
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
7196
9.25 IPS |
|
|
Style Transfer (Q)
|
87% |
11886
15.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1486
54.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1260
46.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2106
78.0 IPS |
|
|
Text Classification (SP)
|
100% |
1630
2.18 KIPS |
|
|
Text Classification (HP)
|
100% |
455
607.9 IPS |
|
|
Text Classification (Q)
|
97% |
1239
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1726
29.7 IPS |
|
|
Machine Translation (HP)
|
100% |
539
9.29 IPS |
|
|
Machine Translation (Q)
|
68% |
2288
44.2 IPS |
