iPad17,2
Geekbench AI Score
5337
Single Precision Score
8641
Half Precision Score
6845
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 12 2025 07:00 AM |
| Views | 8 |
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, 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% |
2281
424.1 IPS |
|
|
Image Classification (HP)
|
100% |
3694
686.9 IPS |
|
|
Image Classification (Q)
|
96% |
2514
469.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2316
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3422
55.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3708
60.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11235
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
20888
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17806
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2670
211.8 IPS |
|
|
Object Detection (HP)
|
97% |
4214
335.5 IPS |
|
|
Object Detection (Q)
|
94% |
2935
234.0 IPS |
|
|
Face Detection (SP)
|
100% |
4804
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
8506
101.1 IPS |
|
|
Face Detection (Q)
|
100% |
4733
56.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9136
70.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15251
117.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10563
82.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27188
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
41363
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33694
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6014
222.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7335
270.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5164
190.7 IPS |
|
|
Text Classification (SP)
|
100% |
3201
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5634
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5583
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
5157
88.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9409
162.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9553
165.1 IPS |
