iPad15,7
Geekbench AI Score
3119
Single Precision Score
3138
Half Precision Score
2867
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 12 2025 02:14 AM |
| Views | 6 |
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% |
1037
192.8 IPS |
|
|
Image Classification (HP)
|
100% |
606
112.6 IPS |
|
|
Image Classification (Q)
|
96% |
789
147.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2323
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2338
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2235
36.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9599
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
10369
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
10110
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1099
87.2 IPS |
|
|
Object Detection (HP)
|
100% |
1030
81.7 IPS |
|
|
Object Detection (Q)
|
92% |
889
71.0 IPS |
|
|
Face Detection (SP)
|
100% |
4615
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
4896
58.2 IPS |
|
|
Face Detection (Q)
|
100% |
3978
47.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6704
51.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6396
49.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
6554
51.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17512
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19327
24.8 IPS |
|
|
Style Transfer (Q)
|
96% |
18863
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2881
106.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2955
109.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1481
54.7 IPS |
|
|
Text Classification (SP)
|
100% |
2730
3.64 KIPS |
|
|
Text Classification (HP)
|
99% |
4591
6.13 KIPS |
|
|
Text Classification (Q)
|
93% |
4555
6.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
807
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
747
12.9 IPS |
|
|
Machine Translation (Q)
|
98% |
716
12.4 IPS |
