iPad15,7
Geekbench AI Score
2873
Single Precision Score
3263
Half Precision Score
3054
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 27 2025 03:21 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad15,7 |
| Model ID | iPad15,7 |
| Motherboard | J481AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 5 Cores |
| Identifier | ARM |
| Base Frequency | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
533
99.1 IPS |
|
|
Image Classification (HP)
|
100% |
632
117.6 IPS |
|
|
Image Classification (Q)
|
96% |
860
160.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2364
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2323
37.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2358
38.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9401
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10361
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9804
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1010
80.1 IPS |
|
|
Object Detection (HP)
|
100% |
1061
84.2 IPS |
|
|
Object Detection (Q)
|
92% |
719
57.4 IPS |
|
|
Face Detection (SP)
|
100% |
4941
58.7 IPS |
|
|
Face Detection (HP)
|
100% |
5085
60.4 IPS |
|
|
Face Detection (Q)
|
100% |
4392
52.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7255
55.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
7804
60.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
6589
51.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17587
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19599
25.2 IPS |
|
|
Style Transfer (Q)
|
96% |
18967
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2670
98.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2769
102.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2503
92.4 IPS |
|
|
Text Classification (SP)
|
100% |
2777
3.71 KIPS |
|
|
Text Classification (HP)
|
99% |
4803
6.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4747
6.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
687
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
821
14.1 IPS |
|
|
Machine Translation (Q)
|
98% |
758
13.1 IPS |
