iPad15,7
Geekbench AI Score
2881
Single Precision Score
3400
Half Precision Score
3042
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 07 2025 06:04 PM |
| Views | 10 |
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% |
555
103.3 IPS |
|
|
Image Classification (HP)
|
100% |
979
182.1 IPS |
|
|
Image Classification (Q)
|
96% |
880
164.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2317
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2366
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2225
36.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9719
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
10420
12.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
10103
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1069
84.8 IPS |
|
|
Object Detection (HP)
|
100% |
1070
84.8 IPS |
|
|
Object Detection (Q)
|
92% |
922
73.6 IPS |
|
|
Face Detection (SP)
|
100% |
4742
56.4 IPS |
|
|
Face Detection (HP)
|
100% |
5010
59.5 IPS |
|
|
Face Detection (Q)
|
100% |
3255
38.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6504
50.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
6627
51.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
6202
48.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17595
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19461
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
19154
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2806
103.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3008
111.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2638
97.4 IPS |
|
|
Text Classification (SP)
|
100% |
2814
3.76 KIPS |
|
|
Text Classification (HP)
|
99% |
4799
6.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4875
6.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
689
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
859
14.8 IPS |
|
|
Machine Translation (Q)
|
98% |
750
13.0 IPS |
