iPad15,7
Geekbench AI Score
2898
Single Precision Score
3257
Half Precision Score
3061
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 19 2025 06:23 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 | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
545
101.3 IPS |
|
|
Image Classification (HP)
|
100% |
890
165.5 IPS |
|
|
Image Classification (Q)
|
96% |
895
167.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2430
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2408
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2300
37.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9328
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10321
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9752
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1011
80.2 IPS |
|
|
Object Detection (HP)
|
100% |
883
70.1 IPS |
|
|
Object Detection (Q)
|
92% |
771
61.5 IPS |
|
|
Face Detection (SP)
|
100% |
4959
58.9 IPS |
|
|
Face Detection (HP)
|
100% |
5304
63.0 IPS |
|
|
Face Detection (Q)
|
100% |
4339
51.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7161
55.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
6659
51.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
6278
49.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17531
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19556
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18822
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2758
101.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2832
104.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2537
93.7 IPS |
|
|
Text Classification (SP)
|
100% |
2822
3.77 KIPS |
|
|
Text Classification (HP)
|
99% |
4811
6.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4785
6.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
692
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
732
12.6 IPS |
|
|
Machine Translation (Q)
|
98% |
752
13.0 IPS |
