iPad17,4
Geekbench AI Score
5338
Single Precision Score
8644
Half Precision Score
6837
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 29 2025 08:05 AM |
| Views | 3 |
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% |
2282
424.4 IPS |
|
|
Image Classification (HP)
|
100% |
3733
694.2 IPS |
|
|
Image Classification (Q)
|
96% |
2517
470.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2322
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3448
55.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3760
60.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11039
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20943
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17824
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2679
212.5 IPS |
|
|
Object Detection (HP)
|
97% |
4231
336.8 IPS |
|
|
Object Detection (Q)
|
94% |
2932
233.7 IPS |
|
|
Face Detection (SP)
|
100% |
4807
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
8524
101.3 IPS |
|
|
Face Detection (Q)
|
100% |
4740
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9152
70.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
15178
117.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10562
82.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27503
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41369
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33806
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6006
221.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7341
271.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5146
190.0 IPS |
|
|
Text Classification (SP)
|
100% |
3207
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5480
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5532
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
5146
88.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9490
164.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9373
162.0 IPS |
