iPad15,7
Geekbench AI Score
3185
Single Precision Score
3345
Half Precision Score
3124
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 22 2025 11:47 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1110
206.5 IPS |
|
|
Image Classification (HP)
|
100% |
1000
185.9 IPS |
|
|
Image Classification (Q)
|
96% |
899
167.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2279
36.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2347
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2215
35.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9596
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
10341
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
10133
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
1106
87.7 IPS |
|
|
Object Detection (HP)
|
100% |
1025
81.3 IPS |
|
|
Object Detection (Q)
|
92% |
932
74.4 IPS |
|
|
Face Detection (SP)
|
100% |
4865
57.8 IPS |
|
|
Face Detection (HP)
|
100% |
5025
59.7 IPS |
|
|
Face Detection (Q)
|
100% |
4040
48.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6933
53.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
6663
51.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
6342
49.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17540
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19519
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
19228
24.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2969
109.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3022
111.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2502
92.4 IPS |
|
|
Text Classification (SP)
|
100% |
2778
3.71 KIPS |
|
|
Text Classification (HP)
|
99% |
4814
6.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4676
6.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
820
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
742
12.8 IPS |
|
|
Machine Translation (Q)
|
98% |
818
14.1 IPS |
