iPad17,1
Geekbench AI Score
5251
Single Precision Score
8537
Half Precision Score
6771
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 03:00 AM |
| 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, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2281
424.1 IPS |
|
|
Image Classification (HP)
|
100% |
3723
692.5 IPS |
|
|
Image Classification (Q)
|
96% |
2510
468.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2139
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3182
51.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3495
56.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11034
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20924
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17834
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2665
211.4 IPS |
|
|
Object Detection (HP)
|
97% |
4202
334.5 IPS |
|
|
Object Detection (Q)
|
94% |
2926
233.2 IPS |
|
|
Face Detection (SP)
|
100% |
4790
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
8471
100.7 IPS |
|
|
Face Detection (Q)
|
100% |
4728
56.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9103
70.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
15233
117.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10543
82.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27355
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41138
52.9 IPS |
|
|
Style Transfer (Q)
|
96% |
33663
43.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5765
212.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7126
263.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5067
187.1 IPS |
|
|
Text Classification (SP)
|
100% |
3166
4.23 KIPS |
|
|
Text Classification (HP)
|
99% |
5545
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5525
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
5110
88.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9417
162.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9425
162.9 IPS |
