iPad17,3
Geekbench AI Score
5283
Single Precision Score
8585
Half Precision Score
6817
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | February 12 2026 12:16 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| Model | iPad17,3 |
| Model ID | iPad17,3 |
| Motherboard | J820AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.03 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2283
424.6 IPS |
|
|
Image Classification (HP)
|
100% |
3691
686.4 IPS |
|
|
Image Classification (Q)
|
96% |
2504
467.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2195
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3337
54.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3567
57.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11349
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20885
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17770
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
2669
211.7 IPS |
|
|
Object Detection (HP)
|
97% |
4156
330.9 IPS |
|
|
Object Detection (Q)
|
94% |
2923
233.0 IPS |
|
|
Face Detection (SP)
|
100% |
4779
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
8500
101.0 IPS |
|
|
Face Detection (Q)
|
100% |
4787
56.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9134
70.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15214
117.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10542
82.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27574
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41371
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33858
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5962
220.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7227
266.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5218
192.7 IPS |
|
|
Text Classification (SP)
|
100% |
3053
4.07 KIPS |
|
|
Text Classification (HP)
|
99% |
5596
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5578
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
5096
87.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9411
162.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9401
162.5 IPS |
