iPad17,3
Geekbench AI Score
5354
Single Precision Score
8636
Half Precision Score
6842
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 07 2026 04:05 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
2302
428.0 IPS |
|
|
Image Classification (HP)
|
100% |
3746
696.7 IPS |
|
|
Image Classification (Q)
|
96% |
2525
471.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2358
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3394
55.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3767
61.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11281
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20912
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17845
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2665
211.4 IPS |
|
|
Object Detection (HP)
|
97% |
4230
336.7 IPS |
|
|
Object Detection (Q)
|
94% |
2935
233.9 IPS |
|
|
Face Detection (SP)
|
100% |
4750
56.4 IPS |
|
|
Face Detection (HP)
|
100% |
8524
101.3 IPS |
|
|
Face Detection (Q)
|
100% |
4740
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9157
70.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
15238
117.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10565
82.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27578
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
41354
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33814
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6011
222.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7276
268.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5154
190.3 IPS |
|
|
Text Classification (SP)
|
100% |
3197
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5528
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5459
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
5150
88.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9498
164.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9477
163.8 IPS |
