iPad17,1
Geekbench AI Score
5320
Single Precision Score
8629
Half Precision Score
6835
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | cgraff |
| Upload Date | March 07 2026 06:53 AM |
| Views | 5 |
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 | 4.42 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2286
425.2 IPS |
|
|
Image Classification (HP)
|
100% |
3686
685.5 IPS |
|
|
Image Classification (Q)
|
96% |
2492
465.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2333
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3434
55.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3793
61.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11376
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
20957
24.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17846
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2648
210.1 IPS |
|
|
Object Detection (HP)
|
97% |
4202
334.5 IPS |
|
|
Object Detection (Q)
|
94% |
2936
234.0 IPS |
|
|
Face Detection (SP)
|
100% |
4789
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
8494
100.9 IPS |
|
|
Face Detection (Q)
|
100% |
4738
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9124
70.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15244
117.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10554
82.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27426
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
41364
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33810
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6005
221.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7290
269.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5129
189.4 IPS |
|
|
Text Classification (SP)
|
100% |
3126
4.17 KIPS |
|
|
Text Classification (HP)
|
99% |
5540
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5468
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
5033
86.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9503
164.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9489
164.0 IPS |
