iPad15,7
Geekbench AI Score
3138
Single Precision Score
3214
Half Precision Score
3013
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 19 2025 01:25 AM |
| Views | 7 |
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% |
1097
204.1 IPS |
|
|
Image Classification (HP)
|
100% |
693
128.8 IPS |
|
|
Image Classification (Q)
|
96% |
583
108.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2344
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2332
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2247
36.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9575
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
10323
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
10004
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1146
90.9 IPS |
|
|
Object Detection (HP)
|
100% |
1020
80.9 IPS |
|
|
Object Detection (Q)
|
92% |
899
71.8 IPS |
|
|
Face Detection (SP)
|
100% |
4718
56.1 IPS |
|
|
Face Detection (HP)
|
100% |
5054
60.1 IPS |
|
|
Face Detection (Q)
|
100% |
4197
49.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6759
52.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
6549
50.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
6176
48.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17599
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19490
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18924
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2909
107.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2989
110.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2602
96.1 IPS |
|
|
Text Classification (SP)
|
100% |
2812
3.75 KIPS |
|
|
Text Classification (HP)
|
99% |
4864
6.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4835
6.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
717
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
739
12.7 IPS |
|
|
Machine Translation (Q)
|
98% |
850
14.7 IPS |
