iPad (7th generation)
Geekbench AI Score
445
Single Precision Score
82
Half Precision Score
76
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 12 2025 02:47 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
256
47.7 IPS |
|
|
Image Classification (HP)
|
100% |
44
8.24 IPS |
|
|
Image Classification (Q)
|
96% |
39
7.26 IPS |
|
|
Image Segmentation (SP)
|
100% |
254
4.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
59
0.95 IPS |
|
|
Image Segmentation (Q)
|
99% |
53
0.86 IPS |
|
|
Pose Estimation (SP)
|
100% |
994
1.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
66
0.08 IPS |
|
|
Pose Estimation (Q)
|
94% |
63
0.07 IPS |
|
|
Object Detection (SP)
|
100% |
242
19.2 IPS |
|
|
Object Detection (HP)
|
99% |
40
3.17 IPS |
|
|
Object Detection (Q)
|
93% |
37
2.93 IPS |
|
|
Face Detection (SP)
|
100% |
470
5.59 IPS |
|
|
Face Detection (HP)
|
100% |
133
1.58 IPS |
|
|
Face Detection (Q)
|
100% |
104
1.23 IPS |
|
|
Depth Estimation (SP)
|
100% |
661
5.09 IPS |
|
|
Depth Estimation (HP)
|
98% |
95
0.73 IPS |
|
|
Depth Estimation (Q)
|
85% |
90
0.70 IPS |
|
|
Style Transfer (SP)
|
100% |
1666
2.14 IPS |
|
|
Style Transfer (HP)
|
100% |
205
0.26 IPS |
|
|
Style Transfer (Q)
|
96% |
201
0.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
486
17.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42
1.56 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40
1.49 IPS |
|
|
Text Classification (SP)
|
100% |
193
257.6 IPS |
|
|
Text Classification (HP)
|
100% |
200
266.8 IPS |
|
|
Text Classification (Q)
|
93% |
204
273.9 IPS |
|
|
Machine Translation (SP)
|
100% |
402
6.92 IPS |
|
|
Machine Translation (HP)
|
96% |
95
1.65 IPS |
|
|
Machine Translation (Q)
|
98% |
95
1.64 IPS |
