iPad17,2
Geekbench AI Score
5291
Single Precision Score
8578
Half Precision Score
6792
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 08:54 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad17,2 |
| Model ID | iPad17,2 |
| Motherboard | J818AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2283
424.5 IPS |
|
|
Image Classification (HP)
|
100% |
3747
696.8 IPS |
|
|
Image Classification (Q)
|
96% |
2514
469.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2170
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3229
52.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3530
57.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11365
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
20918
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17823
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2670
211.8 IPS |
|
|
Object Detection (HP)
|
97% |
4190
333.6 IPS |
|
|
Object Detection (Q)
|
94% |
2927
233.3 IPS |
|
|
Face Detection (SP)
|
100% |
4832
57.4 IPS |
|
|
Face Detection (HP)
|
100% |
8522
101.3 IPS |
|
|
Face Detection (Q)
|
100% |
4737
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9139
70.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15217
117.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10570
82.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27183
34.9 IPS |
|
|
Style Transfer (HP)
|
100% |
41431
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33884
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5799
214.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7070
261.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5079
187.5 IPS |
|
|
Text Classification (SP)
|
100% |
3191
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5624
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5481
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
5154
88.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9524
164.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9568
165.3 IPS |
