iPad15,3
Geekbench AI Score
7558
Single Precision Score
9253
Half Precision Score
8604
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | StanH |
| Upload Date | November 11 2025 04:14 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad15,3 |
| Model ID | iPad15,3 |
| Motherboard | J607AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 2.17 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4072
757.2 IPS |
|
|
Image Classification (HP)
|
100% |
4398
817.9 IPS |
|
|
Image Classification (Q)
|
96% |
3934
734.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6087
98.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6502
105.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6256
101.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
21665
25.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
24020
28.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
23459
27.5 IPS |
|
|
Object Detection (SP)
|
100% |
2255
178.9 IPS |
|
|
Object Detection (HP)
|
100% |
4557
361.5 IPS |
|
|
Object Detection (Q)
|
92% |
4232
337.8 IPS |
|
|
Face Detection (SP)
|
100% |
11389
135.3 IPS |
|
|
Face Detection (HP)
|
100% |
14436
171.5 IPS |
|
|
Face Detection (Q)
|
100% |
11626
138.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17693
136.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
19256
148.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
17652
137.9 IPS |
|
|
Style Transfer (SP)
|
100% |
47488
61.0 IPS |
|
|
Style Transfer (HP)
|
100% |
54512
70.1 IPS |
|
|
Style Transfer (Q)
|
96% |
53078
68.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10230
377.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10241
378.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8847
326.7 IPS |
|
|
Text Classification (SP)
|
100% |
3205
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5535
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5522
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1603
27.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1712
29.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1710
29.5 IPS |
