Avell High Performance A57
Geekbench AI Score
1873
Single Precision Score
1892
Half Precision Score
1038
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | cesarfilho |
| Upload Date | August 05 2025 12:44 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-11800H |
| System Information | |
|---|---|
| Operating System | Pop!_OS 22.04 LTS |
| Model | Avell High Performance A57 |
| Motherboard | Avell High Performance A57 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 4.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1395
259.4 IPS |
|
|
Image Classification (HP)
|
100% |
1481
275.5 IPS |
|
|
Image Classification (Q)
|
99% |
783
146.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1898
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1901
30.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
772
12.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2244
2.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
2189
2.55 IPS |
|
|
Pose Estimation (Q)
|
96% |
1860
2.18 IPS |
|
|
Object Detection (SP)
|
100% |
1254
99.5 IPS |
|
|
Object Detection (HP)
|
100% |
1354
107.4 IPS |
|
|
Object Detection (Q)
|
85% |
626
50.4 IPS |
|
|
Face Detection (SP)
|
100% |
2450
29.1 IPS |
|
|
Face Detection (HP)
|
100% |
2467
29.3 IPS |
|
|
Face Detection (Q)
|
97% |
1581
18.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2189
16.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2240
17.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
1275
12.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2649
3.41 IPS |
|
|
Style Transfer (HP)
|
100% |
2643
3.40 IPS |
|
|
Style Transfer (Q)
|
98% |
3840
4.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1399
51.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1417
52.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
970
36.0 IPS |
|
|
Text Classification (SP)
|
100% |
1630
2.18 KIPS |
|
|
Text Classification (HP)
|
100% |
1545
2.06 KIPS |
|
|
Text Classification (Q)
|
92% |
557
747.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2204
38.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2210
38.1 IPS |
|
|
Machine Translation (Q)
|
58% |
496
11.6 IPS |
