iPad15,7
Geekbench AI Score
3190
Single Precision Score
3329
Half Precision Score
2982
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 26 2025 06:51 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 | 3.45 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1121
208.4 IPS |
|
|
Image Classification (HP)
|
100% |
985
183.2 IPS |
|
|
Image Classification (Q)
|
96% |
586
109.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2307
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2348
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2250
36.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9665
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
10360
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
10102
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1145
90.8 IPS |
|
|
Object Detection (HP)
|
100% |
1058
83.9 IPS |
|
|
Object Detection (Q)
|
92% |
895
71.4 IPS |
|
|
Face Detection (SP)
|
100% |
4860
57.7 IPS |
|
|
Face Detection (HP)
|
100% |
5082
60.4 IPS |
|
|
Face Detection (Q)
|
100% |
4088
48.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6799
52.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
6427
49.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
6114
47.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17581
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19539
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18902
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2918
107.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2885
106.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2496
92.2 IPS |
|
|
Text Classification (SP)
|
100% |
2864
3.82 KIPS |
|
|
Text Classification (HP)
|
99% |
4822
6.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4807
6.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
787
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
744
12.8 IPS |
|
|
Machine Translation (Q)
|
98% |
824
14.2 IPS |
