iPad15,7
Geekbench AI Score
2928
Single Precision Score
3168
Half Precision Score
3057
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 28 2025 10:35 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% |
529
98.4 IPS |
|
|
Image Classification (HP)
|
100% |
602
111.9 IPS |
|
|
Image Classification (Q)
|
96% |
881
164.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2390
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2446
39.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2279
36.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9477
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10255
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9685
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
1083
85.9 IPS |
|
|
Object Detection (HP)
|
100% |
1017
80.7 IPS |
|
|
Object Detection (Q)
|
92% |
702
56.0 IPS |
|
|
Face Detection (SP)
|
100% |
4949
58.8 IPS |
|
|
Face Detection (HP)
|
100% |
5262
62.5 IPS |
|
|
Face Detection (Q)
|
100% |
4338
51.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7626
58.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
6545
50.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
6187
48.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17525
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19601
25.2 IPS |
|
|
Style Transfer (Q)
|
96% |
18909
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2773
102.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2718
100.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2511
92.7 IPS |
|
|
Text Classification (SP)
|
100% |
2848
3.80 KIPS |
|
|
Text Classification (HP)
|
99% |
4830
6.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4762
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
685
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
749
12.9 IPS |
|
|
Machine Translation (Q)
|
98% |
862
14.9 IPS |
