Avell ION A70
Geekbench AI Score
15743
Single Precision Score
30089
Half Precision Score
12734
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 18 2025 05:11 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5050 Laptop GPU |
| 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% |
6707
1.25 KIPS |
|
|
Image Classification (HP)
|
100% |
12456
2.32 KIPS |
|
|
Image Classification (Q)
|
99% |
6317
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11351
184.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18083
293.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
10456
170.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
66643
77.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
238216
278.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
67590
79.2 IPS |
|
|
Object Detection (SP)
|
100% |
8167
647.8 IPS |
|
|
Object Detection (HP)
|
100% |
14713
1.17 KIPS |
|
|
Object Detection (Q)
|
87% |
7379
592.2 IPS |
|
|
Face Detection (SP)
|
100% |
20703
246.0 IPS |
|
|
Face Detection (HP)
|
100% |
33857
402.3 IPS |
|
|
Face Detection (Q)
|
97% |
18851
224.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
36942
284.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
82612
636.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
31044
248.2 IPS |
|
|
Style Transfer (SP)
|
100% |
108020
138.9 IPS |
|
|
Style Transfer (HP)
|
100% |
379158
487.4 IPS |
|
|
Style Transfer (Q)
|
98% |
91006
117.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21503
794.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42806
1.58 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17546
649.7 IPS |
|
|
Text Classification (SP)
|
100% |
2914
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
3576
4.77 KIPS |
|
|
Text Classification (Q)
|
97% |
1963
2.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
4360
75.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4747
81.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1856
34.8 IPS |
