iPad15,7
Geekbench AI Score
3018
Single Precision Score
3183
Half Precision Score
2686
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 18 2025 02:51 AM |
| Views | 3 |
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 | 3.45 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
913
169.8 IPS |
|
|
Image Classification (HP)
|
100% |
968
180.0 IPS |
|
|
Image Classification (Q)
|
96% |
477
89.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2374
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2361
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2292
37.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9486
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10274
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9596
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
1026
81.4 IPS |
|
|
Object Detection (HP)
|
100% |
920
73.0 IPS |
|
|
Object Detection (Q)
|
92% |
701
56.0 IPS |
|
|
Face Detection (SP)
|
100% |
3630
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
3699
44.0 IPS |
|
|
Face Detection (Q)
|
100% |
4081
48.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7582
58.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
6608
50.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
6171
48.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17479
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19575
25.2 IPS |
|
|
Style Transfer (Q)
|
96% |
18930
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2812
103.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2897
107.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1422
52.5 IPS |
|
|
Text Classification (SP)
|
100% |
2796
3.73 KIPS |
|
|
Text Classification (HP)
|
99% |
4881
6.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4745
6.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
787
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
731
12.6 IPS |
|
|
Machine Translation (Q)
|
98% |
829
14.3 IPS |
