iPad17,3
Geekbench AI Score
5329
Single Precision Score
8623
Half Precision Score
6835
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 06:45 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 | 4.43 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2276
423.4 IPS |
|
|
Image Classification (HP)
|
100% |
3723
692.3 IPS |
|
|
Image Classification (Q)
|
96% |
2507
468.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2298
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3402
55.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3739
60.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11374
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
20952
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17865
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2667
211.6 IPS |
|
|
Object Detection (HP)
|
97% |
4202
334.6 IPS |
|
|
Object Detection (Q)
|
94% |
2931
233.6 IPS |
|
|
Face Detection (SP)
|
100% |
4831
57.4 IPS |
|
|
Face Detection (HP)
|
100% |
8476
100.7 IPS |
|
|
Face Detection (Q)
|
100% |
4730
56.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9141
70.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15252
117.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10598
82.7 IPS |
|
|
Style Transfer (SP)
|
100% |
27496
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
41524
53.4 IPS |
|
|
Style Transfer (Q)
|
96% |
33890
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6021
222.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7290
269.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5144
189.9 IPS |
|
|
Text Classification (SP)
|
100% |
3198
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5538
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5486
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
4983
85.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9411
162.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9468
163.6 IPS |
