iPad15,7
Geekbench AI Score
2828
Single Precision Score
3061
Half Precision Score
3098
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 20 2025 06:49 PM |
| Views | 9 |
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% |
536
99.8 IPS |
|
|
Image Classification (HP)
|
100% |
520
96.6 IPS |
|
|
Image Classification (Q)
|
96% |
868
162.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2419
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2399
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2297
37.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9295
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10348
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9775
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
944
74.9 IPS |
|
|
Object Detection (HP)
|
100% |
1000
79.3 IPS |
|
|
Object Detection (Q)
|
92% |
914
73.0 IPS |
|
|
Face Detection (SP)
|
100% |
3723
44.2 IPS |
|
|
Face Detection (HP)
|
100% |
3660
43.5 IPS |
|
|
Face Detection (Q)
|
100% |
4288
50.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7646
58.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
6808
52.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
6436
50.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17531
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19556
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18892
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2626
97.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2773
102.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2448
90.4 IPS |
|
|
Text Classification (SP)
|
100% |
2823
3.77 KIPS |
|
|
Text Classification (HP)
|
99% |
4784
6.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4890
6.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
779
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
867
14.9 IPS |
|
|
Machine Translation (Q)
|
98% |
733
12.7 IPS |
