iPad15,7
Geekbench AI Score
2874
Single Precision Score
3341
Half Precision Score
3152
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 20 2025 02:57 AM |
| Views | 2 |
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% |
734
136.5 IPS |
|
|
Image Classification (HP)
|
100% |
815
151.6 IPS |
|
|
Image Classification (Q)
|
96% |
882
164.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2383
38.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2384
38.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2289
37.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9417
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10276
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9619
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
930
73.8 IPS |
|
|
Object Detection (HP)
|
100% |
1014
80.4 IPS |
|
|
Object Detection (Q)
|
92% |
932
74.4 IPS |
|
|
Face Detection (SP)
|
100% |
3568
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
5322
63.2 IPS |
|
|
Face Detection (Q)
|
100% |
4309
51.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7598
58.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8054
62.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
6440
50.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17598
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19554
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18912
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2755
101.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2925
108.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2551
94.2 IPS |
|
|
Text Classification (SP)
|
100% |
2802
3.74 KIPS |
|
|
Text Classification (HP)
|
99% |
4832
6.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4755
6.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
682
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
724
12.5 IPS |
|
|
Machine Translation (Q)
|
98% |
842
14.6 IPS |
