iPad15,7
Geekbench AI Score
3000
Single Precision Score
3229
Half Precision Score
3087
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 19 2025 06:23 PM |
| Views | 8 |
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% |
714
132.8 IPS |
|
|
Image Classification (HP)
|
100% |
644
119.7 IPS |
|
|
Image Classification (Q)
|
96% |
900
168.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2448
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2433
39.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2291
37.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9307
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10332
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9717
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1045
82.9 IPS |
|
|
Object Detection (HP)
|
100% |
949
75.3 IPS |
|
|
Object Detection (Q)
|
92% |
734
58.6 IPS |
|
|
Face Detection (SP)
|
100% |
4710
56.0 IPS |
|
|
Face Detection (HP)
|
100% |
5025
59.7 IPS |
|
|
Face Detection (Q)
|
100% |
4348
51.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7637
58.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
6652
51.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
6403
50.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17548
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19585
25.2 IPS |
|
|
Style Transfer (Q)
|
96% |
18947
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2847
105.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2955
109.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2498
92.2 IPS |
|
|
Text Classification (SP)
|
100% |
2825
3.77 KIPS |
|
|
Text Classification (HP)
|
99% |
4933
6.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4806
6.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
686
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
842
14.5 IPS |
|
|
Machine Translation (Q)
|
98% |
846
14.6 IPS |
