iPad17,2
Geekbench AI Score
5360
Single Precision Score
8642
Half Precision Score
6857
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 12 2026 12:50 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| Model | iPad17,2 |
| Model ID | iPad17,2 |
| Motherboard | J818AP |
| 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% |
2289
425.8 IPS |
|
|
Image Classification (HP)
|
100% |
3682
684.7 IPS |
|
|
Image Classification (Q)
|
96% |
2479
462.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2345
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3480
56.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3815
61.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11377
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
20874
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17822
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2673
212.1 IPS |
|
|
Object Detection (HP)
|
97% |
4194
333.9 IPS |
|
|
Object Detection (Q)
|
94% |
2938
234.2 IPS |
|
|
Face Detection (SP)
|
100% |
4834
57.4 IPS |
|
|
Face Detection (HP)
|
100% |
8533
101.4 IPS |
|
|
Face Detection (Q)
|
100% |
4770
56.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9086
70.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
15170
117.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10621
82.9 IPS |
|
|
Style Transfer (SP)
|
100% |
27407
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41491
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33796
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6028
222.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7376
272.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5169
190.9 IPS |
|
|
Text Classification (SP)
|
100% |
3209
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5487
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5517
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
5155
88.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9534
164.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9514
164.4 IPS |
