iPad15,7
Geekbench AI Score
2873
Single Precision Score
3156
Half Precision Score
2887
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 31 2025 07:09 PM |
| 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 | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
536
99.6 IPS |
|
|
Image Classification (HP)
|
100% |
607
112.9 IPS |
|
|
Image Classification (Q)
|
96% |
882
164.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2389
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2457
39.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2283
37.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9561
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
10254
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9548
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
1058
83.9 IPS |
|
|
Object Detection (HP)
|
100% |
927
73.6 IPS |
|
|
Object Detection (Q)
|
92% |
731
58.3 IPS |
|
|
Face Detection (SP)
|
100% |
3606
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
3732
44.3 IPS |
|
|
Face Detection (Q)
|
100% |
4293
51.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7653
59.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8025
61.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
6837
53.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17535
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19418
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
18938
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2811
103.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2972
109.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1470
54.3 IPS |
|
|
Text Classification (SP)
|
100% |
2829
3.78 KIPS |
|
|
Text Classification (HP)
|
99% |
4747
6.34 KIPS |
|
|
Text Classification (Q)
|
93% |
4721
6.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
769
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
845
14.6 IPS |
|
|
Machine Translation (Q)
|
98% |
744
12.9 IPS |
