iPad17,4
Geekbench AI Score
5272
Single Precision Score
8586
Half Precision Score
6800
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 10 2025 03:23 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad17,4 |
| Model ID | iPad17,4 |
| Motherboard | J821AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2286
425.2 IPS |
|
|
Image Classification (HP)
|
100% |
3741
695.7 IPS |
|
|
Image Classification (Q)
|
96% |
2479
462.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2199
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3329
54.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3556
57.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11326
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20901
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17843
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2663
211.3 IPS |
|
|
Object Detection (HP)
|
97% |
4196
334.0 IPS |
|
|
Object Detection (Q)
|
94% |
2928
233.4 IPS |
|
|
Face Detection (SP)
|
100% |
4782
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
8512
101.1 IPS |
|
|
Face Detection (Q)
|
100% |
4729
56.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9115
70.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
15200
117.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10553
82.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27310
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
41299
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33724
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5963
220.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7210
266.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5153
190.3 IPS |
|
|
Text Classification (SP)
|
100% |
3065
4.09 KIPS |
|
|
Text Classification (HP)
|
99% |
5483
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5578
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
5033
86.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9447
163.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9494
164.1 IPS |
