iPad15,7
Geekbench AI Score
3102
Single Precision Score
3352
Half Precision Score
2904
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 04 2025 07:21 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 | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1112
206.7 IPS |
|
|
Image Classification (HP)
|
100% |
1000
185.9 IPS |
|
|
Image Classification (Q)
|
96% |
463
86.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2293
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2337
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2210
35.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9500
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10465
12.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
10250
12.0 IPS |
|
|
Object Detection (SP)
|
100% |
1125
89.3 IPS |
|
|
Object Detection (HP)
|
100% |
1075
85.3 IPS |
|
|
Object Detection (Q)
|
92% |
934
74.5 IPS |
|
|
Face Detection (SP)
|
100% |
3719
44.2 IPS |
|
|
Face Detection (HP)
|
100% |
5094
60.5 IPS |
|
|
Face Detection (Q)
|
100% |
3405
40.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6869
52.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
6520
50.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
6490
50.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17535
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19536
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18937
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2952
109.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3021
111.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2681
99.0 IPS |
|
|
Text Classification (SP)
|
100% |
2801
3.74 KIPS |
|
|
Text Classification (HP)
|
99% |
4709
6.29 KIPS |
|
|
Text Classification (Q)
|
93% |
4678
6.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
819
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
739
12.7 IPS |
|
|
Machine Translation (Q)
|
98% |
831
14.4 IPS |
