iPad17,1
Geekbench AI Score
5332
Single Precision Score
8668
Half Precision Score
6857
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 11 2026 04:16 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2273
422.7 IPS |
|
|
Image Classification (HP)
|
100% |
3705
689.0 IPS |
|
|
Image Classification (Q)
|
96% |
2501
467.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2319
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3461
56.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3830
62.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11363
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
21031
24.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17844
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2679
212.5 IPS |
|
|
Object Detection (HP)
|
97% |
4237
337.3 IPS |
|
|
Object Detection (Q)
|
94% |
2947
234.9 IPS |
|
|
Face Detection (SP)
|
100% |
4830
57.4 IPS |
|
|
Face Detection (HP)
|
100% |
8504
101.0 IPS |
|
|
Face Detection (Q)
|
100% |
4740
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9153
70.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
15272
118.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10595
82.7 IPS |
|
|
Style Transfer (SP)
|
100% |
27512
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41493
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33797
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6020
222.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7293
269.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5154
190.3 IPS |
|
|
Text Classification (SP)
|
100% |
3033
4.05 KIPS |
|
|
Text Classification (HP)
|
99% |
5594
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5535
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
5216
89.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9532
164.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9422
162.8 IPS |
