iPad15,7
Geekbench AI Score
3625
Single Precision Score
6329
Half Precision Score
5133
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 31 2025 07:06 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1449
269.4 IPS |
|
|
Image Classification (HP)
|
100% |
2571
478.0 IPS |
|
|
Image Classification (Q)
|
96% |
1811
338.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1476
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2116
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2682
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6915
8.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
15617
18.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12931
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1580
125.4 IPS |
|
|
Object Detection (HP)
|
97% |
2974
236.8 IPS |
|
|
Object Detection (Q)
|
94% |
2121
169.1 IPS |
|
|
Face Detection (SP)
|
100% |
3336
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
6179
73.4 IPS |
|
|
Face Detection (Q)
|
100% |
3530
41.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6182
47.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11799
91.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8136
63.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18828
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
29892
38.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24753
31.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4090
151.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5135
189.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3919
144.7 IPS |
|
|
Text Classification (SP)
|
100% |
2821
3.77 KIPS |
|
|
Text Classification (HP)
|
99% |
4942
6.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4772
6.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3749
64.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7389
127.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7173
124.0 IPS |
