iPad17,4
Geekbench AI Score
5342
Single Precision Score
8636
Half Precision Score
6840
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | January 13 2026 11:49 PM |
| Views | 3 |
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 | 4.42 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2284
424.7 IPS |
|
|
Image Classification (HP)
|
100% |
3729
693.6 IPS |
|
|
Image Classification (Q)
|
96% |
2498
466.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2317
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3436
55.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3702
60.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11048
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20964
24.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17884
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2670
211.7 IPS |
|
|
Object Detection (HP)
|
97% |
4191
333.7 IPS |
|
|
Object Detection (Q)
|
94% |
2942
234.5 IPS |
|
|
Face Detection (SP)
|
100% |
4824
57.3 IPS |
|
|
Face Detection (HP)
|
100% |
8563
101.7 IPS |
|
|
Face Detection (Q)
|
100% |
4783
56.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9159
70.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
15313
118.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10582
82.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27588
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
41462
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33903
43.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6011
221.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7207
266.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5161
190.6 IPS |
|
|
Text Classification (SP)
|
100% |
3207
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5499
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5523
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
5162
88.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9517
164.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9431
163.0 IPS |
