iPad17,1
Geekbench AI Score
5319
Single Precision Score
8682
Half Precision Score
6870
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | gefrancis |
| Upload Date | January 31 2026 04:46 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2268
421.9 IPS |
|
|
Image Classification (HP)
|
100% |
3747
696.9 IPS |
|
|
Image Classification (Q)
|
96% |
2512
469.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2355
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3447
55.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3808
61.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11054
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20892
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17801
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2671
211.8 IPS |
|
|
Object Detection (HP)
|
97% |
4214
335.5 IPS |
|
|
Object Detection (Q)
|
94% |
2942
234.5 IPS |
|
|
Face Detection (SP)
|
100% |
4823
57.3 IPS |
|
|
Face Detection (HP)
|
100% |
8521
101.2 IPS |
|
|
Face Detection (Q)
|
100% |
4755
56.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9129
70.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15262
118.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10563
82.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27575
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41357
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33795
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5999
221.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7334
270.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5195
191.8 IPS |
|
|
Text Classification (SP)
|
100% |
3055
4.08 KIPS |
|
|
Text Classification (HP)
|
99% |
5588
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5595
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
5174
89.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9717
167.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9485
163.9 IPS |
