iPad (A16) (11th Generation) iPad15,7
Geekbench AI Score
3120
Single Precision Score
3305
Half Precision Score
3133
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Chris Sack |
| Upload Date | October 01 2025 10:51 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad15,7 |
| Model ID | iPad15,7 |
| Motherboard | J481AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 5 Cores |
| Identifier | ARM |
| Base Frequency | 3.45 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1057
196.6 IPS |
|
|
Image Classification (HP)
|
100% |
978
181.9 IPS |
|
|
Image Classification (Q)
|
96% |
884
165.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2297
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2383
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2217
35.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9660
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
10384
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
10069
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1059
84.0 IPS |
|
|
Object Detection (HP)
|
100% |
1021
81.0 IPS |
|
|
Object Detection (Q)
|
92% |
966
77.1 IPS |
|
|
Face Detection (SP)
|
100% |
4569
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
4880
58.0 IPS |
|
|
Face Detection (Q)
|
100% |
4052
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6800
52.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
6750
52.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
6513
50.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17551
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19488
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18961
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2924
108.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2857
105.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2660
98.2 IPS |
|
|
Text Classification (SP)
|
100% |
2824
3.77 KIPS |
|
|
Text Classification (HP)
|
99% |
4676
6.24 KIPS |
|
|
Text Classification (Q)
|
93% |
4803
6.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
783
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
736
12.7 IPS |
|
|
Machine Translation (Q)
|
98% |
748
12.9 IPS |
