iPad17,4
Geekbench AI Score
5313
Single Precision Score
8649
Half Precision Score
6835
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 12:15 PM |
| Views | 1 |
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, 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% |
2271
422.4 IPS |
|
|
Image Classification (HP)
|
100% |
3686
685.4 IPS |
|
|
Image Classification (Q)
|
96% |
2506
467.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2368
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3552
57.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3744
60.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11002
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
20829
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17797
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2666
211.5 IPS |
|
|
Object Detection (HP)
|
97% |
4194
333.9 IPS |
|
|
Object Detection (Q)
|
94% |
2888
230.2 IPS |
|
|
Face Detection (SP)
|
100% |
4767
56.6 IPS |
|
|
Face Detection (HP)
|
100% |
8455
100.5 IPS |
|
|
Face Detection (Q)
|
100% |
4771
56.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9133
70.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15251
117.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10578
82.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27483
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
41330
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33842
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6003
221.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7310
269.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5162
190.6 IPS |
|
|
Text Classification (SP)
|
100% |
3091
4.13 KIPS |
|
|
Text Classification (HP)
|
99% |
5536
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5543
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
5126
88.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9502
164.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9447
163.3 IPS |
