iPad15,7
Geekbench AI Score
2858
Single Precision Score
3388
Half Precision Score
3114
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 18 2025 03:22 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% |
537
99.8 IPS |
|
|
Image Classification (HP)
|
100% |
980
182.3 IPS |
|
|
Image Classification (Q)
|
96% |
870
162.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2288
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2380
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2198
35.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9516
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10345
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9975
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1141
90.5 IPS |
|
|
Object Detection (HP)
|
100% |
1070
84.8 IPS |
|
|
Object Detection (Q)
|
92% |
955
76.2 IPS |
|
|
Face Detection (SP)
|
100% |
3630
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
4996
59.4 IPS |
|
|
Face Detection (Q)
|
100% |
4211
50.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6595
50.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
6607
50.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
6511
50.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17538
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19511
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18954
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2907
107.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2863
105.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2631
97.2 IPS |
|
|
Text Classification (SP)
|
100% |
2769
3.70 KIPS |
|
|
Text Classification (HP)
|
99% |
4928
6.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4807
6.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
808
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
850
14.6 IPS |
|
|
Machine Translation (Q)
|
98% |
717
12.4 IPS |
