iPad17,3
Geekbench AI Score
5348
Single Precision Score
8656
Half Precision Score
6838
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 17 2026 05:46 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2288
425.5 IPS |
|
|
Image Classification (HP)
|
100% |
3726
692.8 IPS |
|
|
Image Classification (Q)
|
96% |
2518
470.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2304
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3429
55.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3793
61.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11338
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20940
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17753
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
2655
210.6 IPS |
|
|
Object Detection (HP)
|
97% |
4197
334.1 IPS |
|
|
Object Detection (Q)
|
94% |
2939
234.3 IPS |
|
|
Face Detection (SP)
|
100% |
4794
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
8525
101.3 IPS |
|
|
Face Detection (Q)
|
100% |
4778
56.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9101
70.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
15258
117.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10600
82.7 IPS |
|
|
Style Transfer (SP)
|
100% |
27469
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
41376
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33809
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6021
222.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7292
269.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5164
190.7 IPS |
|
|
Text Classification (SP)
|
100% |
3202
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5571
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5529
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
5222
90.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9619
166.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9180
158.6 IPS |
