iPad17,1
Geekbench AI Score
5291
Single Precision Score
8652
Half Precision Score
6817
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 10:11 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad17,1 |
| Model ID | iPad17,1 |
| Motherboard | J817AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2232
415.0 IPS |
|
|
Image Classification (HP)
|
100% |
3675
683.3 IPS |
|
|
Image Classification (Q)
|
96% |
2483
463.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2345
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3540
57.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3781
61.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11035
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20872
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17820
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2671
211.8 IPS |
|
|
Object Detection (HP)
|
97% |
4192
333.8 IPS |
|
|
Object Detection (Q)
|
94% |
2921
232.8 IPS |
|
|
Face Detection (SP)
|
100% |
4793
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
8430
100.2 IPS |
|
|
Face Detection (Q)
|
100% |
4708
55.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9101
70.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
15236
117.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10554
82.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27501
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41364
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33776
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6005
221.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7343
271.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5161
190.6 IPS |
|
|
Text Classification (SP)
|
100% |
3035
4.05 KIPS |
|
|
Text Classification (HP)
|
99% |
5609
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5423
7.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
5106
87.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9447
163.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9447
163.3 IPS |
