iPad17,3
Geekbench AI Score
5276
Single Precision Score
8727
Half Precision Score
6864
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 01:16 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2289
425.7 IPS |
|
|
Image Classification (HP)
|
100% |
3754
698.2 IPS |
|
|
Image Classification (Q)
|
96% |
2509
468.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2323
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3469
56.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3807
61.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11305
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20924
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17807
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2678
212.4 IPS |
|
|
Object Detection (HP)
|
97% |
4226
336.5 IPS |
|
|
Object Detection (Q)
|
94% |
2941
234.4 IPS |
|
|
Face Detection (SP)
|
100% |
4764
56.6 IPS |
|
|
Face Detection (HP)
|
100% |
8503
101.0 IPS |
|
|
Face Detection (Q)
|
100% |
4760
56.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9025
69.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
15241
117.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10538
82.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25810
33.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41127
52.9 IPS |
|
|
Style Transfer (Q)
|
96% |
33626
43.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6006
221.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7368
272.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5203
192.1 IPS |
|
|
Text Classification (SP)
|
100% |
3013
4.02 KIPS |
|
|
Text Classification (HP)
|
99% |
5582
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5622
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
5175
89.1 IPS |
|
|
Machine Translation (HP)
|
98% |
10157
175.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9412
162.6 IPS |
