iPad15,7
Geekbench AI Score
2967
Single Precision Score
3382
Half Precision Score
2931
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 10:12 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
616
114.5 IPS |
|
|
Image Classification (HP)
|
100% |
969
180.2 IPS |
|
|
Image Classification (Q)
|
96% |
474
88.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2318
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2353
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2253
36.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9722
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
10382
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
10091
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1148
91.1 IPS |
|
|
Object Detection (HP)
|
100% |
1072
85.0 IPS |
|
|
Object Detection (Q)
|
92% |
949
75.7 IPS |
|
|
Face Detection (SP)
|
100% |
4589
54.5 IPS |
|
|
Face Detection (HP)
|
100% |
4995
59.4 IPS |
|
|
Face Detection (Q)
|
100% |
4018
47.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6503
50.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
6675
51.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
6150
48.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17563
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19520
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18960
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2924
108.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2998
110.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2703
99.8 IPS |
|
|
Text Classification (SP)
|
100% |
2769
3.70 KIPS |
|
|
Text Classification (HP)
|
99% |
4808
6.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4799
6.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
782
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
824
14.2 IPS |
|
|
Machine Translation (Q)
|
98% |
755
13.0 IPS |
