iPad15,7
Geekbench AI Score
2997
Single Precision Score
3353
Half Precision Score
3017
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 04 2025 07:21 PM |
| Views | 4 |
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% |
706
131.2 IPS |
|
|
Image Classification (HP)
|
100% |
844
157.0 IPS |
|
|
Image Classification (Q)
|
96% |
598
111.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2455
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2406
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2317
37.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9527
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10435
12.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
10006
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1051
83.3 IPS |
|
|
Object Detection (HP)
|
100% |
991
78.6 IPS |
|
|
Object Detection (Q)
|
92% |
967
77.2 IPS |
|
|
Face Detection (SP)
|
100% |
4875
57.9 IPS |
|
|
Face Detection (HP)
|
100% |
5284
62.8 IPS |
|
|
Face Detection (Q)
|
100% |
4323
51.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6820
52.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
7732
59.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
6489
50.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17569
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19529
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18921
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2803
103.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2827
104.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2522
93.1 IPS |
|
|
Text Classification (SP)
|
100% |
2831
3.78 KIPS |
|
|
Text Classification (HP)
|
99% |
4872
6.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4743
6.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
728
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
780
13.4 IPS |
|
|
Machine Translation (Q)
|
98% |
736
12.7 IPS |
