iPad (6th generation)
Geekbench AI Score
417
Single Precision Score
19
Half Precision Score
18
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Joj |
| Upload Date | March 04 2026 02:41 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A10 Fusion |
| System Information | |
|---|---|
| Operating System | iOS 17.7.10 |
| 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% |
242
45.0 IPS |
|
|
Image Classification (HP)
|
100% |
9
1.72 IPS |
|
|
Image Classification (Q)
|
96% |
8
1.58 IPS |
|
|
Image Segmentation (SP)
|
100% |
215
3.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
11
0.18 IPS |
|
|
Image Segmentation (Q)
|
99% |
11
0.18 IPS |
|
|
Pose Estimation (SP)
|
100% |
910
1.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
13
0.02 IPS |
|
|
Pose Estimation (Q)
|
94% |
13
0.01 IPS |
|
|
Object Detection (SP)
|
100% |
214
17.0 IPS |
|
|
Object Detection (HP)
|
99% |
8
0.65 IPS |
|
|
Object Detection (Q)
|
93% |
8
0.63 IPS |
|
|
Face Detection (SP)
|
100% |
454
5.40 IPS |
|
|
Face Detection (HP)
|
100% |
28
0.33 IPS |
|
|
Face Detection (Q)
|
100% |
26
0.31 IPS |
|
|
Depth Estimation (SP)
|
100% |
561
4.32 IPS |
|
|
Depth Estimation (HP)
|
98% |
19
0.15 IPS |
|
|
Depth Estimation (Q)
|
85% |
19
0.15 IPS |
|
|
Style Transfer (SP)
|
100% |
1598
2.05 IPS |
|
|
Style Transfer (HP)
|
100% |
42
0.05 IPS |
|
|
Style Transfer (Q)
|
96% |
41
0.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
505
18.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9
0.32 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9
0.32 IPS |
|
|
Text Classification (SP)
|
100% |
203
271.4 IPS |
|
|
Text Classification (HP)
|
100% |
167
223.0 IPS |
|
|
Text Classification (Q)
|
93% |
174
233.0 IPS |
|
|
Machine Translation (SP)
|
100% |
380
6.54 IPS |
|
|
Machine Translation (HP)
|
96% |
21
0.36 IPS |
|
|
Machine Translation (Q)
|
98% |
21
0.37 IPS |
