iPad (7th generation)
Geekbench AI Score
447
Single Precision Score
81
Half Precision Score
76
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 15 2025 05:02 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A10 Fusion |
| System Information | |
|---|---|
| Operating System | iOS 18.7.1 |
| 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% |
264
49.2 IPS |
|
|
Image Classification (HP)
|
100% |
44
8.22 IPS |
|
|
Image Classification (Q)
|
96% |
39
7.26 IPS |
|
|
Image Segmentation (SP)
|
100% |
249
4.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
58
0.94 IPS |
|
|
Image Segmentation (Q)
|
99% |
52
0.84 IPS |
|
|
Pose Estimation (SP)
|
100% |
947
1.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
64
0.07 IPS |
|
|
Pose Estimation (Q)
|
94% |
62
0.07 IPS |
|
|
Object Detection (SP)
|
100% |
233
18.5 IPS |
|
|
Object Detection (HP)
|
99% |
39
3.10 IPS |
|
|
Object Detection (Q)
|
93% |
36
2.88 IPS |
|
|
Face Detection (SP)
|
100% |
532
6.32 IPS |
|
|
Face Detection (HP)
|
100% |
131
1.56 IPS |
|
|
Face Detection (Q)
|
100% |
103
1.22 IPS |
|
|
Depth Estimation (SP)
|
100% |
642
4.95 IPS |
|
|
Depth Estimation (HP)
|
98% |
94
0.73 IPS |
|
|
Depth Estimation (Q)
|
85% |
89
0.69 IPS |
|
|
Style Transfer (SP)
|
100% |
1667
2.14 IPS |
|
|
Style Transfer (HP)
|
100% |
205
0.26 IPS |
|
|
Style Transfer (Q)
|
96% |
201
0.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
481
17.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43
1.58 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41
1.52 IPS |
|
|
Text Classification (SP)
|
100% |
197
262.5 IPS |
|
|
Text Classification (HP)
|
100% |
204
272.1 IPS |
|
|
Text Classification (Q)
|
93% |
203
272.8 IPS |
|
|
Machine Translation (SP)
|
100% |
408
7.02 IPS |
|
|
Machine Translation (HP)
|
96% |
97
1.67 IPS |
|
|
Machine Translation (Q)
|
98% |
97
1.68 IPS |
