iPad17,3
Geekbench AI Score
5338
Single Precision Score
8624
Half Precision Score
6848
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 01:18 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad17,3 |
| Model ID | iPad17,3 |
| Motherboard | J820AP |
| 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% |
2281
424.2 IPS |
|
|
Image Classification (HP)
|
100% |
3623
673.7 IPS |
|
|
Image Classification (Q)
|
96% |
2521
470.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2361
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3490
56.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3795
61.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11337
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20899
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17816
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2674
212.1 IPS |
|
|
Object Detection (HP)
|
97% |
4235
337.1 IPS |
|
|
Object Detection (Q)
|
94% |
2942
234.5 IPS |
|
|
Face Detection (SP)
|
100% |
4801
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
8513
101.2 IPS |
|
|
Face Detection (Q)
|
100% |
4758
56.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9151
70.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
15227
117.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10566
82.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27418
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41268
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33746
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5998
221.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7394
273.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5185
191.5 IPS |
|
|
Text Classification (SP)
|
100% |
3108
4.15 KIPS |
|
|
Text Classification (HP)
|
99% |
5497
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5482
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
5128
88.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9361
161.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9382
162.1 IPS |
