iPad17,3
Geekbench AI Score
5352
Single Precision Score
8659
Half Precision Score
6832
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Sly-RG |
| Upload Date | November 06 2025 07:45 AM |
| Views | 5 |
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% |
2288
425.5 IPS |
|
|
Image Classification (HP)
|
100% |
3727
693.1 IPS |
|
|
Image Classification (Q)
|
96% |
2510
468.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2310
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3436
55.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3757
60.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11024
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20852
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17882
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2667
211.5 IPS |
|
|
Object Detection (HP)
|
97% |
4206
334.8 IPS |
|
|
Object Detection (Q)
|
94% |
2936
234.0 IPS |
|
|
Face Detection (SP)
|
100% |
4783
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
8455
100.5 IPS |
|
|
Face Detection (Q)
|
100% |
4748
56.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9100
70.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
15169
117.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10514
82.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27290
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
41132
52.9 IPS |
|
|
Style Transfer (Q)
|
96% |
33726
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6026
222.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7376
272.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5154
190.3 IPS |
|
|
Text Classification (SP)
|
100% |
3208
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5418
7.23 KIPS |
|
|
Text Classification (Q)
|
93% |
5479
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
5405
93.1 IPS |
|
|
Machine Translation (HP)
|
98% |
10017
173.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9416
162.7 IPS |
