iPad15,7
Geekbench AI Score
1542
Single Precision Score
1737
Half Precision Score
1584
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 14 2025 06:50 PM |
| Views | 5 |
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 | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
691
128.5 IPS |
|
|
Image Classification (HP)
|
100% |
877
163.0 IPS |
|
|
Image Classification (Q)
|
96% |
872
162.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2406
39.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2462
39.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2350
38.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9463
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10341
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9944
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
1040
82.5 IPS |
|
|
Object Detection (HP)
|
100% |
941
74.7 IPS |
|
|
Object Detection (Q)
|
92% |
744
59.4 IPS |
|
|
Face Detection (SP)
|
100% |
4740
56.3 IPS |
|
|
Face Detection (HP)
|
100% |
5304
63.0 IPS |
|
|
Face Detection (Q)
|
100% |
4442
52.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7220
55.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7792
60.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
6164
48.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17585
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19664
25.3 IPS |
|
|
Style Transfer (Q)
|
96% |
19025
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2796
103.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3018
111.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2603
96.1 IPS |
|
|
Text Classification (SP)
|
100% |
2763
3.69 KIPS |
|
|
Text Classification (HP)
|
99% |
4873
6.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4838
6.49 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
6.26 IPS |
|
|
Machine Translation (HP)
|
0% |
0
6.81 IPS |
|
|
Machine Translation (Q)
|
0% |
0
5.84 IPS |
