iPad17,3
Geekbench AI Score
5357
Single Precision Score
8740
Half Precision Score
6825
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 01:48 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad17,3 |
| Model ID | iPad17,3 |
| Motherboard | J820AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2295
426.8 IPS |
|
|
Image Classification (HP)
|
100% |
3687
685.8 IPS |
|
|
Image Classification (Q)
|
96% |
2473
461.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2314
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3406
55.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3732
60.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11389
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
20840
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17784
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
2661
211.1 IPS |
|
|
Object Detection (HP)
|
97% |
4213
335.4 IPS |
|
|
Object Detection (Q)
|
94% |
2928
233.4 IPS |
|
|
Face Detection (SP)
|
100% |
4796
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
8486
100.8 IPS |
|
|
Face Detection (Q)
|
100% |
4732
56.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9124
70.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15244
117.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10535
82.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27429
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
41535
53.4 IPS |
|
|
Style Transfer (Q)
|
96% |
33836
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6026
222.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7305
269.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5171
190.9 IPS |
|
|
Text Classification (SP)
|
100% |
3204
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
6365
8.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5536
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
5226
90.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9449
163.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9462
163.5 IPS |
