AZW SER
Geekbench AI Score
2295
Single Precision Score
2273
Half Precision Score
1279
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | muddybulldog |
| Upload Date | January 15 2025 01:50 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 6800H |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| 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 | 4.78 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.59 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1880
349.7 IPS |
|
|
Image Classification (HP)
|
100% |
1882
349.9 IPS |
|
|
Image Classification (Q)
|
99% |
990
184.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2195
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2178
35.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
935
15.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2391
2.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
2431
2.84 IPS |
|
|
Pose Estimation (Q)
|
96% |
2384
2.79 IPS |
|
|
Object Detection (SP)
|
100% |
1863
147.8 IPS |
|
|
Object Detection (HP)
|
100% |
1891
150.0 IPS |
|
|
Object Detection (Q)
|
85% |
823
66.2 IPS |
|
|
Face Detection (SP)
|
100% |
2742
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
2750
32.7 IPS |
|
|
Face Detection (Q)
|
97% |
2078
24.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2467
19.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2504
19.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
1647
15.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2806
3.61 IPS |
|
|
Style Transfer (HP)
|
100% |
2772
3.56 IPS |
|
|
Style Transfer (Q)
|
98% |
4413
5.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1929
71.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1925
71.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1277
47.3 IPS |
|
|
Text Classification (SP)
|
100% |
2333
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
2149
2.87 KIPS |
|
|
Text Classification (Q)
|
92% |
678
910.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2583
44.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2483
42.8 IPS |
|
|
Machine Translation (Q)
|
58% |
496
11.6 IPS |
