AZW SER
Geekbench AI Score
2284
Single Precision Score
669
Half Precision Score
4260
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | flark |
| Upload Date | October 14 2025 10:41 AM |
| Views | 24 |
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% |
2151
400.0 IPS |
|
|
Image Classification (HP)
|
100% |
141
26.3 IPS |
|
|
Image Classification (Q)
|
94% |
4461
833.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
583
9.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
160
2.60 IPS |
|
|
Image Segmentation (Q)
|
98% |
2132
34.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3345
3.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
4494
5.24 IPS |
|
|
Pose Estimation (Q)
|
86% |
9262
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
1385
109.9 IPS |
|
|
Object Detection (HP)
|
100% |
173
13.7 IPS |
|
|
Object Detection (Q)
|
58% |
3321
362.9 IPS |
|
|
Face Detection (SP)
|
100% |
1996
23.7 IPS |
|
|
Face Detection (HP)
|
100% |
303
3.60 IPS |
|
|
Face Detection (Q)
|
96% |
10451
124.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6709
51.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1177
9.07 IPS |
|
|
Depth Estimation (Q)
|
78% |
10002
79.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12663
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10460
13.4 IPS |
|
|
Style Transfer (Q)
|
87% |
12588
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1422
52.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1216
44.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2069
76.6 IPS |
|
|
Text Classification (SP)
|
100% |
1572
2.10 KIPS |
|
|
Text Classification (HP)
|
100% |
443
591.9 IPS |
|
|
Text Classification (Q)
|
97% |
1221
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1760
30.3 IPS |
|
|
Machine Translation (HP)
|
100% |
513
8.83 IPS |
|
|
Machine Translation (Q)
|
68% |
2025
39.1 IPS |
