iPad15,7
Geekbench AI Score
2882
Single Precision Score
3231
Half Precision Score
2901
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 08 2025 02:33 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
511
95.0 IPS |
|
|
Image Classification (HP)
|
100% |
518
96.4 IPS |
|
|
Image Classification (Q)
|
96% |
477
89.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2385
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2449
39.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2357
38.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9363
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10333
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9841
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1017
80.6 IPS |
|
|
Object Detection (HP)
|
100% |
1025
81.3 IPS |
|
|
Object Detection (Q)
|
92% |
866
69.2 IPS |
|
|
Face Detection (SP)
|
100% |
4933
58.6 IPS |
|
|
Face Detection (HP)
|
100% |
5108
60.7 IPS |
|
|
Face Detection (Q)
|
100% |
4063
48.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7237
55.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
7824
60.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
6140
48.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17561
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19541
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
19112
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2831
104.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2991
110.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2558
94.5 IPS |
|
|
Text Classification (SP)
|
100% |
2793
3.73 KIPS |
|
|
Text Classification (HP)
|
99% |
4843
6.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4752
6.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
689
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
816
14.1 IPS |
|
|
Machine Translation (Q)
|
98% |
761
13.1 IPS |
