iPad15,7
Geekbench AI Score
3592
Single Precision Score
6303
Half Precision Score
5117
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 23 2025 06:13 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1453
270.3 IPS |
|
|
Image Classification (HP)
|
100% |
2629
489.0 IPS |
|
|
Image Classification (Q)
|
96% |
1810
338.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1470
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2120
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2673
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6627
7.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
14883
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12809
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1564
124.1 IPS |
|
|
Object Detection (HP)
|
97% |
2946
234.5 IPS |
|
|
Object Detection (Q)
|
94% |
2101
167.4 IPS |
|
|
Face Detection (SP)
|
100% |
3303
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
6156
73.2 IPS |
|
|
Face Detection (Q)
|
100% |
3491
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6143
47.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11769
91.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8130
63.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18428
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
29778
38.3 IPS |
|
|
Style Transfer (Q)
|
96% |
24595
31.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4138
152.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5445
201.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3918
144.7 IPS |
|
|
Text Classification (SP)
|
100% |
2814
3.76 KIPS |
|
|
Text Classification (HP)
|
99% |
4788
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4801
6.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3718
64.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7207
124.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7210
124.6 IPS |
