iPad17,1
Geekbench AI Score
5320
Single Precision Score
8640
Half Precision Score
6809
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | slawomirrybarczyk |
| Upload Date | November 05 2025 05:06 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad17,1 |
| Model ID | iPad17,1 |
| Motherboard | J817AP |
| 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 | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2285
425.0 IPS |
|
|
Image Classification (HP)
|
100% |
3727
693.0 IPS |
|
|
Image Classification (Q)
|
96% |
2505
467.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2311
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3440
55.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3709
60.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11015
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20853
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17841
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2663
211.2 IPS |
|
|
Object Detection (HP)
|
97% |
4223
336.2 IPS |
|
|
Object Detection (Q)
|
94% |
2923
233.0 IPS |
|
|
Face Detection (SP)
|
100% |
4777
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
8490
100.9 IPS |
|
|
Face Detection (Q)
|
100% |
4731
56.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9136
70.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15223
117.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10557
82.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27555
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41304
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33768
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6004
221.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7392
273.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5200
192.0 IPS |
|
|
Text Classification (SP)
|
100% |
3200
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5534
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5384
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
5081
87.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9407
162.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9374
162.0 IPS |
