iPad17,1
Geekbench AI Score
5291
Single Precision Score
8697
Half Precision Score
6883
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | techne2718 |
| Upload Date | November 27 2025 04:25 PM |
| Views | 6 |
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 | 4.43 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2282
424.4 IPS |
|
|
Image Classification (HP)
|
100% |
3727
693.1 IPS |
|
|
Image Classification (Q)
|
96% |
2525
471.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2349
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3508
56.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3807
61.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11006
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
20854
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17823
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2664
211.3 IPS |
|
|
Object Detection (HP)
|
97% |
4203
334.6 IPS |
|
|
Object Detection (Q)
|
94% |
2948
235.0 IPS |
|
|
Face Detection (SP)
|
100% |
4799
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
8519
101.2 IPS |
|
|
Face Detection (Q)
|
100% |
4755
56.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9140
70.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15243
117.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10577
82.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27377
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41215
53.0 IPS |
|
|
Style Transfer (Q)
|
96% |
33756
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6019
222.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7361
271.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5220
192.8 IPS |
|
|
Text Classification (SP)
|
100% |
2934
3.92 KIPS |
|
|
Text Classification (HP)
|
99% |
5631
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5495
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
5167
89.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9740
168.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9706
167.7 IPS |
