iPad17,4
Geekbench AI Score
5338
Single Precision Score
8606
Half Precision Score
6849
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | January 24 2026 02:53 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad17,4 |
| Model ID | iPad17,4 |
| Motherboard | J821AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2298
427.3 IPS |
|
|
Image Classification (HP)
|
100% |
3661
680.8 IPS |
|
|
Image Classification (Q)
|
96% |
2495
466.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2314
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3408
55.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3726
60.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11042
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20870
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17800
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2658
210.9 IPS |
|
|
Object Detection (HP)
|
97% |
4188
333.4 IPS |
|
|
Object Detection (Q)
|
94% |
2930
233.5 IPS |
|
|
Face Detection (SP)
|
100% |
4789
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
8497
101.0 IPS |
|
|
Face Detection (Q)
|
100% |
4768
56.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9160
70.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
15241
117.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10561
82.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27524
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41341
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33813
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6014
222.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7235
267.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5147
190.1 IPS |
|
|
Text Classification (SP)
|
100% |
3212
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5523
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5607
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
5165
89.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9559
165.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9539
164.8 IPS |
