iPad15,7
Geekbench AI Score
2918
Single Precision Score
3376
Half Precision Score
3099
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 27 2025 01:55 AM |
| Views | 5 |
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% |
558
103.7 IPS |
|
|
Image Classification (HP)
|
100% |
993
184.7 IPS |
|
|
Image Classification (Q)
|
96% |
901
168.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2418
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2401
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2287
37.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9421
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10355
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9826
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1011
80.2 IPS |
|
|
Object Detection (HP)
|
100% |
947
75.1 IPS |
|
|
Object Detection (Q)
|
92% |
925
73.9 IPS |
|
|
Face Detection (SP)
|
100% |
4972
59.1 IPS |
|
|
Face Detection (HP)
|
100% |
5273
62.7 IPS |
|
|
Face Detection (Q)
|
100% |
4313
51.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7629
58.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
6590
50.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
6146
48.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17577
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19544
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18876
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2691
99.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2944
108.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2466
91.1 IPS |
|
|
Text Classification (SP)
|
100% |
2838
3.79 KIPS |
|
|
Text Classification (HP)
|
99% |
4832
6.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4787
6.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
686
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
852
14.7 IPS |
|
|
Machine Translation (Q)
|
98% |
740
12.8 IPS |
