iPad17,4
Geekbench AI Score
5306
Single Precision Score
8781
Half Precision Score
6843
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 17 2026 02:51 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad17,4 |
| Model ID | iPad17,4 |
| Motherboard | J821AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2289
425.7 IPS |
|
|
Image Classification (HP)
|
100% |
3701
688.3 IPS |
|
|
Image Classification (Q)
|
96% |
2492
465.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2410
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3462
56.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3797
61.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11063
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20942
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17843
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2666
211.5 IPS |
|
|
Object Detection (HP)
|
97% |
4179
332.7 IPS |
|
|
Object Detection (Q)
|
94% |
2942
234.5 IPS |
|
|
Face Detection (SP)
|
100% |
4772
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
8500
101.0 IPS |
|
|
Face Detection (Q)
|
100% |
4783
56.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9127
70.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15215
117.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10545
82.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27467
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
41398
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33763
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6008
221.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7246
267.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5148
190.1 IPS |
|
|
Text Classification (SP)
|
100% |
2990
3.99 KIPS |
|
|
Text Classification (HP)
|
99% |
6645
8.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5501
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
5068
87.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9430
162.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9413
162.7 IPS |
