iPad15,7
Geekbench AI Score
2888
Single Precision Score
3206
Half Precision Score
3124
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 02 2025 12:13 PM |
| Views | 9 |
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% |
512
95.3 IPS |
|
|
Image Classification (HP)
|
100% |
555
103.3 IPS |
|
|
Image Classification (Q)
|
96% |
882
164.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2431
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2382
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2285
37.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9431
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10322
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9710
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
992
78.7 IPS |
|
|
Object Detection (HP)
|
100% |
908
72.0 IPS |
|
|
Object Detection (Q)
|
92% |
874
69.7 IPS |
|
|
Face Detection (SP)
|
100% |
4967
59.0 IPS |
|
|
Face Detection (HP)
|
100% |
5295
62.9 IPS |
|
|
Face Detection (Q)
|
100% |
4308
51.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7209
55.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
7727
59.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
5964
46.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17525
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19496
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18901
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2810
103.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2803
103.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2553
94.3 IPS |
|
|
Text Classification (SP)
|
100% |
2808
3.75 KIPS |
|
|
Text Classification (HP)
|
99% |
4931
6.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4878
6.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
701
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
840
14.5 IPS |
|
|
Machine Translation (Q)
|
98% |
858
14.8 IPS |
