iPad15,7
Geekbench AI Score
2938
Single Precision Score
3163
Half Precision Score
3117
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 07 2025 06:04 PM |
| Views | 34 |
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% |
753
140.1 IPS |
|
|
Image Classification (HP)
|
100% |
619
115.2 IPS |
|
|
Image Classification (Q)
|
96% |
892
166.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2315
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2347
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2245
36.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9538
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10415
12.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
10047
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1083
85.9 IPS |
|
|
Object Detection (HP)
|
100% |
1004
79.7 IPS |
|
|
Object Detection (Q)
|
92% |
934
74.5 IPS |
|
|
Face Detection (SP)
|
100% |
3411
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
5084
60.4 IPS |
|
|
Face Detection (Q)
|
100% |
4027
47.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6958
53.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6449
49.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
6296
49.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17535
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19424
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
18898
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2901
107.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2874
106.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2693
99.5 IPS |
|
|
Text Classification (SP)
|
100% |
2787
3.72 KIPS |
|
|
Text Classification (HP)
|
99% |
4748
6.34 KIPS |
|
|
Text Classification (Q)
|
93% |
4705
6.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
793
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
761
13.1 IPS |
|
|
Machine Translation (Q)
|
98% |
760
13.1 IPS |
