iPad17,2
Geekbench AI Score
5337
Single Precision Score
8644
Half Precision Score
6853
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 29 2025 09:22 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad17,2 |
| Model ID | iPad17,2 |
| Motherboard | J818AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2277
423.5 IPS |
|
|
Image Classification (HP)
|
100% |
3666
681.8 IPS |
|
|
Image Classification (Q)
|
96% |
2493
465.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2336
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3437
55.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3783
61.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11329
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20935
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17844
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2667
211.5 IPS |
|
|
Object Detection (HP)
|
97% |
4204
334.7 IPS |
|
|
Object Detection (Q)
|
94% |
2933
233.8 IPS |
|
|
Face Detection (SP)
|
100% |
4808
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
8492
100.9 IPS |
|
|
Face Detection (Q)
|
100% |
4727
56.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8996
69.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15238
117.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10557
82.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27399
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41284
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33642
43.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6003
221.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7355
271.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5138
189.7 IPS |
|
|
Text Classification (SP)
|
100% |
3197
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5504
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5481
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
5131
88.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9716
167.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9795
169.3 IPS |
