AZW SER
Geekbench AI Score
1937
Single Precision Score
1947
Half Precision Score
1271
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | flark |
| Upload Date | October 14 2025 10:52 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| 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% |
1724
320.7 IPS |
|
|
Image Classification (HP)
|
100% |
1838
341.8 IPS |
|
|
Image Classification (Q)
|
99% |
1022
190.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2061
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2056
33.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
956
15.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1925
2.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
1917
2.24 IPS |
|
|
Pose Estimation (Q)
|
96% |
2415
2.83 IPS |
|
|
Object Detection (SP)
|
100% |
1843
146.2 IPS |
|
|
Object Detection (HP)
|
100% |
1862
147.7 IPS |
|
|
Object Detection (Q)
|
85% |
834
67.2 IPS |
|
|
Face Detection (SP)
|
100% |
2155
25.6 IPS |
|
|
Face Detection (HP)
|
100% |
2097
24.9 IPS |
|
|
Face Detection (Q)
|
97% |
2058
24.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1875
14.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1960
15.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
1486
13.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2136
2.75 IPS |
|
|
Style Transfer (HP)
|
100% |
2058
2.65 IPS |
|
|
Style Transfer (Q)
|
98% |
4005
5.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1615
59.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1610
59.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1307
48.4 IPS |
|
|
Text Classification (SP)
|
100% |
2060
2.75 KIPS |
|
|
Text Classification (HP)
|
100% |
2060
2.75 KIPS |
|
|
Text Classification (Q)
|
92% |
712
956.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2062
35.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2070
35.7 IPS |
|
|
Machine Translation (Q)
|
58% |
491
11.5 IPS |
