iPad17,3
Geekbench AI Score
5340
Single Precision Score
8579
Half Precision Score
6864
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Indria |
| Upload Date | December 26 2025 11:46 AM |
| Views | 7 |
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, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.39 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2294
426.7 IPS |
|
|
Image Classification (HP)
|
100% |
3567
663.3 IPS |
|
|
Image Classification (Q)
|
96% |
2511
468.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2313
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3432
55.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3781
61.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11369
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
20961
24.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17780
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
2683
212.8 IPS |
|
|
Object Detection (HP)
|
97% |
4220
335.9 IPS |
|
|
Object Detection (Q)
|
94% |
2942
234.5 IPS |
|
|
Face Detection (SP)
|
100% |
4797
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
8321
98.9 IPS |
|
|
Face Detection (Q)
|
100% |
4711
56.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9105
70.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
15216
117.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10561
82.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27229
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
41328
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33729
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6013
222.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7343
271.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5179
191.2 IPS |
|
|
Text Classification (SP)
|
100% |
3158
4.21 KIPS |
|
|
Text Classification (HP)
|
99% |
5553
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5476
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
5167
89.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9347
161.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9832
169.9 IPS |
