iPad15,7
Geekbench AI Score
3050
Single Precision Score
3361
Half Precision Score
3141
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | July 24 2025 07:36 PM |
| Views | 6 |
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% |
709
131.9 IPS |
|
|
Image Classification (HP)
|
100% |
986
183.4 IPS |
|
|
Image Classification (Q)
|
96% |
897
167.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2359
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2320
37.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2226
36.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9574
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
10377
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
10125
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
1094
86.8 IPS |
|
|
Object Detection (HP)
|
100% |
1058
83.9 IPS |
|
|
Object Detection (Q)
|
92% |
958
76.5 IPS |
|
|
Face Detection (SP)
|
100% |
4825
57.3 IPS |
|
|
Face Detection (HP)
|
100% |
5053
60.0 IPS |
|
|
Face Detection (Q)
|
100% |
3939
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6908
53.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
6476
49.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
6472
50.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17613
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19543
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18955
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2869
106.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2916
107.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2660
98.2 IPS |
|
|
Text Classification (SP)
|
100% |
2843
3.79 KIPS |
|
|
Text Classification (HP)
|
99% |
4917
6.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4890
6.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
832
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
799
13.8 IPS |
|
|
Machine Translation (Q)
|
98% |
770
13.3 IPS |
