iPad17,1
Geekbench AI Score
5269
Single Precision Score
8632
Half Precision Score
6814
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 09:06 PM |
| Views | 1 |
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, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2274
422.9 IPS |
|
|
Image Classification (HP)
|
100% |
3694
686.9 IPS |
|
|
Image Classification (Q)
|
96% |
2490
465.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2238
36.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3405
55.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3530
57.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11018
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20826
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17824
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2657
210.7 IPS |
|
|
Object Detection (HP)
|
97% |
4166
331.7 IPS |
|
|
Object Detection (Q)
|
94% |
2912
232.1 IPS |
|
|
Face Detection (SP)
|
100% |
4753
56.5 IPS |
|
|
Face Detection (HP)
|
100% |
8405
99.9 IPS |
|
|
Face Detection (Q)
|
100% |
4725
56.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9084
70.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
15234
117.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10531
82.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27530
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41437
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33829
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5974
220.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7206
266.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5095
188.1 IPS |
|
|
Text Classification (SP)
|
100% |
3091
4.13 KIPS |
|
|
Text Classification (HP)
|
99% |
5742
7.66 KIPS |
|
|
Text Classification (Q)
|
93% |
5752
7.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
5050
87.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9591
165.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9596
165.8 IPS |
