iPad15,7
Geekbench AI Score
2998
Single Precision Score
3300
Half Precision Score
2860
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 01 2025 05:39 PM |
| 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 | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
751
139.7 IPS |
|
|
Image Classification (HP)
|
100% |
792
147.2 IPS |
|
|
Image Classification (Q)
|
96% |
562
105.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2413
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2414
39.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2297
37.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9412
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10317
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9689
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
984
78.1 IPS |
|
|
Object Detection (HP)
|
100% |
1011
80.2 IPS |
|
|
Object Detection (Q)
|
92% |
689
55.0 IPS |
|
|
Face Detection (SP)
|
100% |
4924
58.5 IPS |
|
|
Face Detection (HP)
|
100% |
5309
63.1 IPS |
|
|
Face Detection (Q)
|
100% |
4282
50.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7195
55.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
7759
59.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
6546
51.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17503
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19467
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
18887
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2748
101.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2837
104.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2414
89.1 IPS |
|
|
Text Classification (SP)
|
100% |
2662
3.55 KIPS |
|
|
Text Classification (HP)
|
99% |
4598
6.14 KIPS |
|
|
Text Classification (Q)
|
93% |
4556
6.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
771
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
735
12.7 IPS |
|
|
Machine Translation (Q)
|
98% |
730
12.6 IPS |
