iPad (6th generation)
Geekbench AI Score
208
Single Precision Score
196
Half Precision Score
150
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 30 2025 10:24 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A10 Fusion |
| System Information | |
|---|---|
| Operating System | iOS 17.7.6 |
| 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% |
112
20.9 IPS |
|
|
Image Classification (HP)
|
100% |
111
20.6 IPS |
|
|
Image Classification (Q)
|
96% |
74
13.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
110
1.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
111
1.81 IPS |
|
|
Image Segmentation (Q)
|
99% |
92
1.50 IPS |
|
|
Pose Estimation (SP)
|
100% |
485
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
395
0.46 IPS |
|
|
Pose Estimation (Q)
|
95% |
377
0.44 IPS |
|
|
Object Detection (SP)
|
100% |
104
8.24 IPS |
|
|
Object Detection (HP)
|
100% |
98
7.77 IPS |
|
|
Object Detection (Q)
|
92% |
68
5.42 IPS |
|
|
Face Detection (SP)
|
100% |
247
2.94 IPS |
|
|
Face Detection (HP)
|
100% |
254
3.01 IPS |
|
|
Face Detection (Q)
|
100% |
119
1.41 IPS |
|
|
Depth Estimation (SP)
|
100% |
266
2.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
262
2.02 IPS |
|
|
Depth Estimation (Q)
|
86% |
201
1.57 IPS |
|
|
Style Transfer (SP)
|
100% |
721
0.93 IPS |
|
|
Style Transfer (HP)
|
100% |
714
0.92 IPS |
|
|
Style Transfer (Q)
|
96% |
601
0.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
228
8.41 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
226
8.36 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
147
5.44 IPS |
|
|
Text Classification (SP)
|
100% |
113
151.1 IPS |
|
|
Text Classification (HP)
|
100% |
97
129.1 IPS |
|
|
Text Classification (Q)
|
93% |
95
126.8 IPS |
|
|
Machine Translation (SP)
|
100% |
204
3.52 IPS |
|
|
Machine Translation (HP)
|
100% |
173
2.98 IPS |
|
|
Machine Translation (Q)
|
98% |
165
2.85 IPS |
