AZW SER8
Geekbench AI Score
82
Single Precision Score
82
Half Precision Score
54
Quantized Score
Geekbench AI 1.5.0 for Linux x86 (64-bit)
Result Information
| User | Schopenhauer |
| Upload Date | December 07 2025 12:42 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 8745HS w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | TUXEDO OS |
| Model | AZW SER8 |
| Motherboard | AZW SER8 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8745HS w/ Radeon 780M Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.97 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 27.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
58
10.7 IPS |
|
|
Image Classification (HP)
|
100% |
55
10.2 IPS |
|
|
Image Classification (Q)
|
97% |
38
7.09 IPS |
|
|
Image Segmentation (SP)
|
100% |
73
1.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
73
1.19 IPS |
|
|
Image Segmentation (Q)
|
98% |
50
0.82 IPS |
|
|
Pose Estimation (SP)
|
100% |
85
0.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
84
0.10 IPS |
|
|
Pose Estimation (Q)
|
96% |
58
0.07 IPS |
|
|
Object Detection (SP)
|
100% |
43
3.38 IPS |
|
|
Object Detection (HP)
|
100% |
42
3.37 IPS |
|
|
Object Detection (Q)
|
87% |
30
2.41 IPS |
|
|
Face Detection (SP)
|
100% |
145
1.72 IPS |
|
|
Face Detection (HP)
|
100% |
145
1.72 IPS |
|
|
Face Detection (Q)
|
97% |
102
1.22 IPS |
|
|
Depth Estimation (SP)
|
100% |
107
0.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
106
0.82 IPS |
|
|
Depth Estimation (Q)
|
64% |
64
0.59 IPS |
|
|
Style Transfer (SP)
|
100% |
228
0.29 IPS |
|
|
Style Transfer (HP)
|
100% |
230
0.30 IPS |
|
|
Style Transfer (Q)
|
98% |
164
0.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
48
1.79 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48
1.79 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
34
1.26 IPS |
|
|
Text Classification (SP)
|
100% |
58
77.7 IPS |
|
|
Text Classification (HP)
|
100% |
59
78.3 IPS |
|
|
Text Classification (Q)
|
91% |
38
51.6 IPS |
|
|
Machine Translation (SP)
|
100% |
100
1.72 IPS |
|
|
Machine Translation (HP)
|
100% |
99
1.70 IPS |
|
|
Machine Translation (Q)
|
58% |
47
1.12 IPS |
