iPad17,1
Geekbench AI Score
5326
Single Precision Score
8627
Half Precision Score
6838
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 12:09 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2272
422.5 IPS |
|
|
Image Classification (HP)
|
100% |
3700
688.0 IPS |
|
|
Image Classification (Q)
|
96% |
2495
465.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2305
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3415
55.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3775
61.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11041
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20950
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17834
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2677
212.3 IPS |
|
|
Object Detection (HP)
|
97% |
4218
335.8 IPS |
|
|
Object Detection (Q)
|
94% |
2936
234.0 IPS |
|
|
Face Detection (SP)
|
100% |
4796
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
8483
100.8 IPS |
|
|
Face Detection (Q)
|
100% |
4737
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9104
70.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
15285
118.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10551
82.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27592
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
41364
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33810
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6014
222.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7261
268.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5167
190.8 IPS |
|
|
Text Classification (SP)
|
100% |
3201
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5579
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5513
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
5125
88.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9415
162.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9428
162.9 IPS |
