iPad15,7
Geekbench AI Score
3024
Single Precision Score
3160
Half Precision Score
3162
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 04 2025 03:33 AM |
| 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 | 3.45 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1103
205.0 IPS |
|
|
Image Classification (HP)
|
100% |
997
185.4 IPS |
|
|
Image Classification (Q)
|
96% |
894
167.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2361
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2370
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2232
36.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9551
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10356
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
10054
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1094
86.8 IPS |
|
|
Object Detection (HP)
|
100% |
763
60.5 IPS |
|
|
Object Detection (Q)
|
92% |
905
72.2 IPS |
|
|
Face Detection (SP)
|
100% |
3333
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
3647
43.3 IPS |
|
|
Face Detection (Q)
|
100% |
4126
49.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6962
53.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6192
47.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
6498
50.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17578
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19533
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18956
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2692
99.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2954
109.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2657
98.1 IPS |
|
|
Text Classification (SP)
|
100% |
2830
3.78 KIPS |
|
|
Text Classification (HP)
|
99% |
4808
6.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4789
6.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
757
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
850
14.6 IPS |
|
|
Machine Translation (Q)
|
98% |
851
14.7 IPS |
