iPad15,7
Geekbench AI Score
2882
Single Precision Score
3290
Half Precision Score
3055
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 25 2025 05:51 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% |
507
94.2 IPS |
|
|
Image Classification (HP)
|
100% |
834
155.0 IPS |
|
|
Image Classification (Q)
|
96% |
878
164.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2401
38.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2329
37.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2294
37.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9490
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10321
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9743
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
958
76.0 IPS |
|
|
Object Detection (HP)
|
100% |
878
69.6 IPS |
|
|
Object Detection (Q)
|
92% |
807
64.4 IPS |
|
|
Face Detection (SP)
|
100% |
4587
54.5 IPS |
|
|
Face Detection (HP)
|
100% |
5303
63.0 IPS |
|
|
Face Detection (Q)
|
100% |
4297
51.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7296
56.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
7779
59.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
6118
47.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17550
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19519
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18951
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2782
102.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2926
108.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2604
96.1 IPS |
|
|
Text Classification (SP)
|
100% |
2782
3.71 KIPS |
|
|
Text Classification (HP)
|
99% |
4835
6.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4809
6.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
786
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
742
12.8 IPS |
|
|
Machine Translation (Q)
|
98% |
717
12.4 IPS |
