iPad17,3
Geekbench AI Score
5287
Single Precision Score
8549
Half Precision Score
6795
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | nathanjliu |
| Upload Date | October 31 2025 07:27 PM |
| Views | 1 |
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, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2262
420.6 IPS |
|
|
Image Classification (HP)
|
100% |
3665
681.5 IPS |
|
|
Image Classification (Q)
|
96% |
2487
464.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2210
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3256
52.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3545
57.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11061
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20971
24.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17872
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2668
211.6 IPS |
|
|
Object Detection (HP)
|
97% |
4179
332.7 IPS |
|
|
Object Detection (Q)
|
94% |
2932
233.7 IPS |
|
|
Face Detection (SP)
|
100% |
4790
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
8461
100.5 IPS |
|
|
Face Detection (Q)
|
100% |
4744
56.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9084
70.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
15289
118.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10565
82.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27535
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41461
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33855
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5858
216.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7122
263.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5087
187.8 IPS |
|
|
Text Classification (SP)
|
100% |
3221
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5541
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5586
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
5124
88.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9421
162.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9430
163.0 IPS |
