AZW SER8
Geekbench AI Score
109
Single Precision Score
109
Half Precision Score
70
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| User | sfm408 |
| Upload Date | April 13 2025 08:15 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS |
| System Information | |
|---|---|
| Operating System | Linux Mint 22 |
| Model | AZW SER8 |
| Motherboard | AZW SER8 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 5.29 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 46.82 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
65
12.0 IPS |
|
|
Image Classification (HP)
|
100% |
65
12.1 IPS |
|
|
Image Classification (Q)
|
97% |
44
8.29 IPS |
|
|
Image Segmentation (SP)
|
100% |
88
1.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
88
1.42 IPS |
|
|
Image Segmentation (Q)
|
98% |
59
0.95 IPS |
|
|
Pose Estimation (SP)
|
100% |
100
0.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
100
0.12 IPS |
|
|
Pose Estimation (Q)
|
96% |
70
0.08 IPS |
|
|
Object Detection (SP)
|
100% |
61
4.86 IPS |
|
|
Object Detection (HP)
|
100% |
62
4.88 IPS |
|
|
Object Detection (Q)
|
87% |
42
3.36 IPS |
|
|
Face Detection (SP)
|
100% |
205
2.44 IPS |
|
|
Face Detection (HP)
|
100% |
205
2.43 IPS |
|
|
Face Detection (Q)
|
97% |
140
1.67 IPS |
|
|
Depth Estimation (SP)
|
100% |
146
1.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
146
1.13 IPS |
|
|
Depth Estimation (Q)
|
64% |
85
0.78 IPS |
|
|
Style Transfer (SP)
|
100% |
303
0.39 IPS |
|
|
Style Transfer (HP)
|
100% |
302
0.39 IPS |
|
|
Style Transfer (Q)
|
98% |
213
0.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
65
2.41 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
65
2.39 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
44
1.63 IPS |
|
|
Text Classification (SP)
|
100% |
81
107.9 IPS |
|
|
Text Classification (HP)
|
100% |
81
108.2 IPS |
|
|
Text Classification (Q)
|
91% |
52
69.5 IPS |
|
|
Machine Translation (SP)
|
100% |
152
2.63 IPS |
|
|
Machine Translation (HP)
|
100% |
150
2.58 IPS |
|
|
Machine Translation (Q)
|
58% |
68
1.62 IPS |
