iPad15,7
Geekbench AI Score
2961
Single Precision Score
3061
Half Precision Score
2903
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 10 2025 03:24 AM |
| 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 | 3.45 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
740
137.6 IPS |
|
|
Image Classification (HP)
|
100% |
526
97.7 IPS |
|
|
Image Classification (Q)
|
96% |
477
89.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2324
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2321
37.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2206
35.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9508
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10604
12.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
10075
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1078
85.5 IPS |
|
|
Object Detection (HP)
|
100% |
1002
79.5 IPS |
|
|
Object Detection (Q)
|
92% |
894
71.4 IPS |
|
|
Face Detection (SP)
|
100% |
3600
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
3618
43.0 IPS |
|
|
Face Detection (Q)
|
100% |
4052
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6995
53.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
6664
51.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
6374
49.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17576
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19514
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18928
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2934
108.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3021
111.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2723
100.5 IPS |
|
|
Text Classification (SP)
|
100% |
2774
3.70 KIPS |
|
|
Text Classification (HP)
|
99% |
4742
6.33 KIPS |
|
|
Text Classification (Q)
|
93% |
4707
6.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
818
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
827
14.2 IPS |
|
|
Machine Translation (Q)
|
98% |
718
12.4 IPS |
