iPad (7th generation)
Geekbench AI Score
441
Single Precision Score
83
Half Precision Score
77
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 08 2025 11:14 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A10 Fusion |
| System Information | |
|---|---|
| Operating System | iOS 18.7.2 |
| Model | iPad (7th generation) |
| Model ID | iPad7,11 |
| Motherboard | J171AP |
| 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 | 2.93 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
243
45.2 IPS |
|
|
Image Classification (HP)
|
100% |
44
8.14 IPS |
|
|
Image Classification (Q)
|
96% |
37
6.84 IPS |
|
|
Image Segmentation (SP)
|
100% |
239
3.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
52
0.85 IPS |
|
|
Image Segmentation (Q)
|
99% |
50
0.82 IPS |
|
|
Pose Estimation (SP)
|
100% |
958
1.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
64
0.08 IPS |
|
|
Pose Estimation (Q)
|
94% |
63
0.07 IPS |
|
|
Object Detection (SP)
|
100% |
232
18.4 IPS |
|
|
Object Detection (HP)
|
99% |
40
3.17 IPS |
|
|
Object Detection (Q)
|
93% |
36
2.90 IPS |
|
|
Face Detection (SP)
|
100% |
491
5.84 IPS |
|
|
Face Detection (HP)
|
100% |
133
1.57 IPS |
|
|
Face Detection (Q)
|
100% |
100
1.19 IPS |
|
|
Depth Estimation (SP)
|
100% |
642
4.95 IPS |
|
|
Depth Estimation (HP)
|
98% |
98
0.76 IPS |
|
|
Depth Estimation (Q)
|
85% |
93
0.72 IPS |
|
|
Style Transfer (SP)
|
100% |
1683
2.16 IPS |
|
|
Style Transfer (HP)
|
100% |
215
0.28 IPS |
|
|
Style Transfer (Q)
|
96% |
211
0.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
500
18.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45
1.65 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
43
1.58 IPS |
|
|
Text Classification (SP)
|
100% |
201
268.7 IPS |
|
|
Text Classification (HP)
|
100% |
211
281.5 IPS |
|
|
Text Classification (Q)
|
93% |
216
289.9 IPS |
|
|
Machine Translation (SP)
|
100% |
409
7.05 IPS |
|
|
Machine Translation (HP)
|
96% |
103
1.78 IPS |
|
|
Machine Translation (Q)
|
98% |
103
1.78 IPS |
