iPad17,3
Geekbench AI Score
5309
Single Precision Score
8654
Half Precision Score
6864
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 27 2025 10:27 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2268
421.8 IPS |
|
|
Image Classification (HP)
|
100% |
3689
686.0 IPS |
|
|
Image Classification (Q)
|
96% |
2490
465.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2293
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3433
55.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3783
61.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11054
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20956
24.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17873
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2665
211.4 IPS |
|
|
Object Detection (HP)
|
97% |
4200
334.3 IPS |
|
|
Object Detection (Q)
|
94% |
2936
234.0 IPS |
|
|
Face Detection (SP)
|
100% |
4771
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
8482
100.8 IPS |
|
|
Face Detection (Q)
|
100% |
4746
56.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9091
70.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
15257
117.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10577
82.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27647
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
41568
53.4 IPS |
|
|
Style Transfer (Q)
|
96% |
33811
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6000
221.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7306
269.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5184
191.4 IPS |
|
|
Text Classification (SP)
|
100% |
3218
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5695
7.60 KIPS |
|
|
Text Classification (Q)
|
93% |
5660
7.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
5022
86.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9446
163.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9442
163.2 IPS |
