iPad (6th generation)
Geekbench AI Score
407
Single Precision Score
19
Half Precision Score
18
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 12 2025 12:45 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A10 Fusion |
| System Information | |
|---|---|
| Operating System | iOS 17.7.2 |
| Model | iPad (6th generation) |
| Model ID | iPad7,5 |
| Motherboard | J71bAP |
| CPU Information | |
|---|---|
| Name | Apple A10 Fusion |
| Topology | 1 Processor, 2 Cores |
| Identifier | ARM |
| Base Frequency | 2.32 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 1.93 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
244
45.4 IPS |
|
|
Image Classification (HP)
|
100% |
9
1.60 IPS |
|
|
Image Classification (Q)
|
96% |
8
1.50 IPS |
|
|
Image Segmentation (SP)
|
100% |
211
3.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
11
0.18 IPS |
|
|
Image Segmentation (Q)
|
99% |
11
0.17 IPS |
|
|
Pose Estimation (SP)
|
100% |
882
1.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
13
0.01 IPS |
|
|
Pose Estimation (Q)
|
94% |
12
0.01 IPS |
|
|
Object Detection (SP)
|
100% |
208
16.5 IPS |
|
|
Object Detection (HP)
|
99% |
8
0.63 IPS |
|
|
Object Detection (Q)
|
93% |
8
0.61 IPS |
|
|
Face Detection (SP)
|
100% |
441
5.24 IPS |
|
|
Face Detection (HP)
|
100% |
27
0.32 IPS |
|
|
Face Detection (Q)
|
100% |
25
0.30 IPS |
|
|
Depth Estimation (SP)
|
100% |
539
4.15 IPS |
|
|
Depth Estimation (HP)
|
98% |
19
0.15 IPS |
|
|
Depth Estimation (Q)
|
85% |
18
0.14 IPS |
|
|
Style Transfer (SP)
|
100% |
1591
2.05 IPS |
|
|
Style Transfer (HP)
|
100% |
41
0.05 IPS |
|
|
Style Transfer (Q)
|
96% |
40
0.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
488
18.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9
0.31 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8
0.31 IPS |
|
|
Text Classification (SP)
|
100% |
191
255.1 IPS |
|
|
Text Classification (HP)
|
100% |
164
219.6 IPS |
|
|
Text Classification (Q)
|
93% |
170
228.6 IPS |
|
|
Machine Translation (SP)
|
100% |
379
6.53 IPS |
|
|
Machine Translation (HP)
|
96% |
21
0.35 IPS |
|
|
Machine Translation (Q)
|
98% |
20
0.35 IPS |
