Avell ION A70
Geekbench AI Score
3523
Single Precision Score
8723
Half Precision Score
12849
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 18 2025 05:27 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Avell ION A70 |
| Motherboard | Avell ION A70 |
| Power Plan | Alto desempenho |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1770
329.1 IPS |
|
|
Image Classification (HP)
|
100% |
6213
1.16 KIPS |
|
|
Image Classification (Q)
|
56% |
5785
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2585
41.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2558
41.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3501
56.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5777
6.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
29884
34.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
65392
76.6 IPS |
|
|
Object Detection (SP)
|
100% |
1802
143.0 IPS |
|
|
Object Detection (HP)
|
100% |
5544
439.7 IPS |
|
|
Object Detection (Q)
|
87% |
9221
740.0 IPS |
|
|
Face Detection (SP)
|
100% |
5441
64.6 IPS |
|
|
Face Detection (HP)
|
100% |
14606
173.6 IPS |
|
|
Face Detection (Q)
|
100% |
25613
304.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5711
44.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
15971
123.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
30471
237.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16552
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
45653
58.7 IPS |
|
|
Style Transfer (Q)
|
98% |
83858
108.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2692
99.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12602
465.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20896
773.9 IPS |
|
|
Text Classification (SP)
|
100% |
1760
2.35 KIPS |
|
|
Text Classification (HP)
|
100% |
1873
2.50 KIPS |
|
|
Text Classification (Q)
|
92% |
1886
2.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
2542
43.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3856
66.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3897
67.1 IPS |
