iPad17,1
Geekbench AI Score
5338
Single Precision Score
8631
Half Precision Score
6842
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | natkat |
| Upload Date | February 06 2026 01:01 AM |
| Views | 11 |
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% |
2307
429.0 IPS |
|
|
Image Classification (HP)
|
100% |
3671
682.8 IPS |
|
|
Image Classification (Q)
|
96% |
2502
467.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2330
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3527
57.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3779
61.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11328
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20862
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17829
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2661
211.1 IPS |
|
|
Object Detection (HP)
|
97% |
4190
333.6 IPS |
|
|
Object Detection (Q)
|
94% |
2919
232.6 IPS |
|
|
Face Detection (SP)
|
100% |
4794
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
8464
100.6 IPS |
|
|
Face Detection (Q)
|
100% |
4728
56.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9141
70.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15142
117.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10526
82.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27414
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41334
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33832
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6081
224.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7311
270.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5165
190.7 IPS |
|
|
Text Classification (SP)
|
100% |
3120
4.16 KIPS |
|
|
Text Classification (HP)
|
99% |
5486
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5567
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
5088
87.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9547
165.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9441
163.2 IPS |
