iPad15,7
Geekbench AI Score
3155
Single Precision Score
3142
Half Precision Score
3014
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 13 2025 10:19 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 | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
975
181.3 IPS |
|
|
Image Classification (HP)
|
100% |
625
116.2 IPS |
|
|
Image Classification (Q)
|
96% |
899
167.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2419
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2394
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2287
37.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9389
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10348
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9689
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
1035
82.1 IPS |
|
|
Object Detection (HP)
|
100% |
920
72.9 IPS |
|
|
Object Detection (Q)
|
92% |
678
54.1 IPS |
|
|
Face Detection (SP)
|
100% |
4973
59.1 IPS |
|
|
Face Detection (HP)
|
100% |
3558
42.3 IPS |
|
|
Face Detection (Q)
|
100% |
4311
51.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7609
58.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8078
62.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
6309
49.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17538
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19555
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18841
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2815
104.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2864
105.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2463
91.0 IPS |
|
|
Text Classification (SP)
|
100% |
2824
3.77 KIPS |
|
|
Text Classification (HP)
|
99% |
4852
6.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4796
6.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
809
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
845
14.5 IPS |
|
|
Machine Translation (Q)
|
98% |
758
13.1 IPS |
