iPad (11th generation) iPad15,7
Geekbench AI Score
3064
Single Precision Score
3373
Half Precision Score
3142
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | andreadandrea |
| Upload Date | September 25 2025 10:42 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad15,7 |
| Model ID | iPad15,7 |
| Motherboard | J481AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 5 Cores |
| Identifier | ARM |
| Base Frequency | 3.43 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1080
200.9 IPS |
|
|
Image Classification (HP)
|
100% |
965
179.4 IPS |
|
|
Image Classification (Q)
|
96% |
911
170.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2309
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2334
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2229
36.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9550
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10467
12.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
10158
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
1109
87.9 IPS |
|
|
Object Detection (HP)
|
100% |
1068
84.7 IPS |
|
|
Object Detection (Q)
|
92% |
935
74.6 IPS |
|
|
Face Detection (SP)
|
100% |
3682
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
5049
60.0 IPS |
|
|
Face Detection (Q)
|
100% |
4182
49.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6886
53.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
6548
50.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
6410
50.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17562
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19567
25.2 IPS |
|
|
Style Transfer (Q)
|
96% |
18961
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2890
106.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2968
109.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2659
98.2 IPS |
|
|
Text Classification (SP)
|
100% |
2742
3.66 KIPS |
|
|
Text Classification (HP)
|
99% |
4752
6.34 KIPS |
|
|
Text Classification (Q)
|
93% |
4740
6.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
785
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
832
14.3 IPS |
|
|
Machine Translation (Q)
|
98% |
759
13.1 IPS |
