iPad17,3
Geekbench AI Score
5303
Single Precision Score
8629
Half Precision Score
6797
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 11:49 AM |
| 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% |
2243
417.1 IPS |
|
|
Image Classification (HP)
|
100% |
3701
688.2 IPS |
|
|
Image Classification (Q)
|
96% |
2486
464.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2374
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3448
55.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3767
61.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11322
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20840
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17816
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2667
211.6 IPS |
|
|
Object Detection (HP)
|
97% |
4204
334.7 IPS |
|
|
Object Detection (Q)
|
94% |
2940
234.3 IPS |
|
|
Face Detection (SP)
|
100% |
4798
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
8418
100.0 IPS |
|
|
Face Detection (Q)
|
100% |
4720
56.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9024
69.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
15250
117.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10546
82.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27476
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
41307
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33739
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6007
221.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7340
271.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5163
190.7 IPS |
|
|
Text Classification (SP)
|
100% |
3018
4.03 KIPS |
|
|
Text Classification (HP)
|
99% |
5573
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5499
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
5072
87.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9441
163.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9002
155.6 IPS |
