iPad17,1
Geekbench AI Score
5324
Single Precision Score
8660
Half Precision Score
6836
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 09 2026 04:09 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
2297
427.1 IPS |
|
|
Image Classification (HP)
|
100% |
3708
689.6 IPS |
|
|
Image Classification (Q)
|
96% |
2524
471.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2291
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3353
54.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3737
60.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11380
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
20935
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17864
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2667
211.6 IPS |
|
|
Object Detection (HP)
|
97% |
4211
335.2 IPS |
|
|
Object Detection (Q)
|
94% |
2932
233.7 IPS |
|
|
Face Detection (SP)
|
100% |
4800
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
8494
100.9 IPS |
|
|
Face Detection (Q)
|
100% |
4734
56.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9071
69.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
15263
118.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10518
82.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27425
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
41308
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33785
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5997
221.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7293
269.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5153
190.3 IPS |
|
|
Text Classification (SP)
|
100% |
3201
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5552
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5484
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
5004
86.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9986
172.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9500
164.2 IPS |
