iPad15,7
Geekbench AI Score
2939
Single Precision Score
3094
Half Precision Score
2757
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 27 2025 02:35 PM |
| Views | 4 |
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 | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
524
97.4 IPS |
|
|
Image Classification (HP)
|
100% |
517
96.2 IPS |
|
|
Image Classification (Q)
|
96% |
473
88.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2436
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2485
40.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2348
38.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9482
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10465
12.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
9745
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
908
72.0 IPS |
|
|
Object Detection (HP)
|
100% |
821
65.1 IPS |
|
|
Object Detection (Q)
|
92% |
761
60.7 IPS |
|
|
Face Detection (SP)
|
100% |
4686
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
5061
60.1 IPS |
|
|
Face Detection (Q)
|
100% |
4022
47.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7811
60.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
6378
49.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
6240
48.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17557
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19447
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
18993
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2762
102.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3054
112.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1750
64.6 IPS |
|
|
Text Classification (SP)
|
100% |
2834
3.78 KIPS |
|
|
Text Classification (HP)
|
99% |
4922
6.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4774
6.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
872
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
774
13.3 IPS |
|
|
Machine Translation (Q)
|
98% |
775
13.4 IPS |
