iPad (6th generation)
Geekbench AI Score
207
Single Precision Score
195
Half Precision Score
148
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 30 2025 10:02 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
126
23.5 IPS |
|
|
Image Classification (HP)
|
100% |
117
21.8 IPS |
|
|
Image Classification (Q)
|
96% |
74
13.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
105
1.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
100
1.62 IPS |
|
|
Image Segmentation (Q)
|
99% |
80
1.30 IPS |
|
|
Pose Estimation (SP)
|
100% |
411
0.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
410
0.48 IPS |
|
|
Pose Estimation (Q)
|
95% |
364
0.43 IPS |
|
|
Object Detection (SP)
|
100% |
101
7.98 IPS |
|
|
Object Detection (HP)
|
100% |
96
7.60 IPS |
|
|
Object Detection (Q)
|
92% |
68
5.44 IPS |
|
|
Face Detection (SP)
|
100% |
245
2.91 IPS |
|
|
Face Detection (HP)
|
100% |
246
2.92 IPS |
|
|
Face Detection (Q)
|
100% |
124
1.47 IPS |
|
|
Depth Estimation (SP)
|
100% |
285
2.19 IPS |
|
|
Depth Estimation (HP)
|
99% |
269
2.07 IPS |
|
|
Depth Estimation (Q)
|
86% |
198
1.54 IPS |
|
|
Style Transfer (SP)
|
100% |
711
0.91 IPS |
|
|
Style Transfer (HP)
|
100% |
721
0.93 IPS |
|
|
Style Transfer (Q)
|
96% |
608
0.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
228
8.43 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
227
8.39 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
147
5.44 IPS |
|
|
Text Classification (SP)
|
100% |
114
152.2 IPS |
|
|
Text Classification (HP)
|
100% |
96
127.9 IPS |
|
|
Text Classification (Q)
|
93% |
94
126.8 IPS |
|
|
Machine Translation (SP)
|
100% |
207
3.56 IPS |
|
|
Machine Translation (HP)
|
100% |
172
2.97 IPS |
|
|
Machine Translation (Q)
|
98% |
172
2.98 IPS |
