iPad15,7
Geekbench AI Score
3002
Single Precision Score
3347
Half Precision Score
2939
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 12 2025 03:04 AM |
| Views | 7 |
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% |
653
121.4 IPS |
|
|
Image Classification (HP)
|
100% |
996
185.2 IPS |
|
|
Image Classification (Q)
|
96% |
471
87.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2300
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2327
37.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2224
36.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9554
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10350
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
10023
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1144
90.8 IPS |
|
|
Object Detection (HP)
|
100% |
1090
86.4 IPS |
|
|
Object Detection (Q)
|
92% |
953
76.1 IPS |
|
|
Face Detection (SP)
|
100% |
4764
56.6 IPS |
|
|
Face Detection (HP)
|
100% |
5135
61.0 IPS |
|
|
Face Detection (Q)
|
100% |
4019
47.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6998
53.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
6397
49.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
6187
48.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17505
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19518
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18916
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2907
107.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3012
111.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2550
94.2 IPS |
|
|
Text Classification (SP)
|
100% |
2760
3.68 KIPS |
|
|
Text Classification (HP)
|
99% |
4837
6.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4761
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
775
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
724
12.5 IPS |
|
|
Machine Translation (Q)
|
98% |
842
14.6 IPS |
