AZW SER8
Geekbench AI Score
2671
Single Precision Score
2684
Half Precision Score
1844
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| Upload Date | April 16 2025 07:49 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.5 LTS |
| 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 | 5.14 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 27.18 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1947
362.0 IPS |
|
|
Image Classification (HP)
|
100% |
1946
361.8 IPS |
|
|
Image Classification (Q)
|
99% |
1438
268.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2753
44.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2874
46.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1239
20.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3154
3.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
3175
3.70 IPS |
|
|
Pose Estimation (Q)
|
96% |
3803
4.46 IPS |
|
|
Object Detection (SP)
|
100% |
2066
163.8 IPS |
|
|
Object Detection (HP)
|
100% |
2085
165.3 IPS |
|
|
Object Detection (Q)
|
85% |
1245
100.2 IPS |
|
|
Face Detection (SP)
|
100% |
3235
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
3243
38.5 IPS |
|
|
Face Detection (Q)
|
97% |
2821
33.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3190
24.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3189
24.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
2275
21.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3599
4.63 IPS |
|
|
Style Transfer (HP)
|
100% |
3573
4.59 IPS |
|
|
Style Transfer (Q)
|
98% |
6569
8.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1978
73.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1989
73.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1784
66.1 IPS |
|
|
Text Classification (SP)
|
100% |
2198
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
2185
2.92 KIPS |
|
|
Text Classification (Q)
|
92% |
949
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3286
56.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3266
56.3 IPS |
|
|
Machine Translation (Q)
|
58% |
758
17.8 IPS |
