iPad15,7
Geekbench AI Score
1538
Single Precision Score
1666
Half Precision Score
1606
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 16 2025 02:12 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
701
130.4 IPS |
|
|
Image Classification (HP)
|
100% |
880
163.6 IPS |
|
|
Image Classification (Q)
|
96% |
890
166.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2362
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2396
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2349
38.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9244
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10342
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9845
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
988
78.4 IPS |
|
|
Object Detection (HP)
|
100% |
982
77.9 IPS |
|
|
Object Detection (Q)
|
92% |
847
67.6 IPS |
|
|
Face Detection (SP)
|
100% |
4900
58.2 IPS |
|
|
Face Detection (HP)
|
100% |
3936
46.8 IPS |
|
|
Face Detection (Q)
|
100% |
4401
52.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7241
55.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
7790
60.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
6288
49.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17570
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19589
25.2 IPS |
|
|
Style Transfer (Q)
|
96% |
19000
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2810
103.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2657
98.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2614
96.5 IPS |
|
|
Text Classification (SP)
|
100% |
2797
3.73 KIPS |
|
|
Text Classification (HP)
|
99% |
4824
6.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4781
6.42 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
5.88 IPS |
|
|
Machine Translation (HP)
|
0% |
0
6.28 IPS |
|
|
Machine Translation (Q)
|
0% |
0
5.51 IPS |
