iPad17,2
Geekbench AI Score
5286
Single Precision Score
8552
Half Precision Score
6799
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | qingluoa |
| Upload Date | October 30 2025 01:44 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad17,2 |
| Model ID | iPad17,2 |
| Motherboard | J818AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2250
418.4 IPS |
|
|
Image Classification (HP)
|
100% |
3674
683.2 IPS |
|
|
Image Classification (Q)
|
96% |
2484
463.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2265
36.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3281
53.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3564
57.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11021
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20907
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17834
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2653
210.4 IPS |
|
|
Object Detection (HP)
|
97% |
4179
332.7 IPS |
|
|
Object Detection (Q)
|
94% |
2926
233.2 IPS |
|
|
Face Detection (SP)
|
100% |
4757
56.5 IPS |
|
|
Face Detection (HP)
|
100% |
8441
100.3 IPS |
|
|
Face Detection (Q)
|
100% |
4724
56.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9066
69.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
15249
117.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10539
82.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27487
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
41228
53.0 IPS |
|
|
Style Transfer (Q)
|
96% |
33714
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5950
219.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7226
266.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5171
190.9 IPS |
|
|
Text Classification (SP)
|
100% |
3172
4.23 KIPS |
|
|
Text Classification (HP)
|
99% |
5477
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5588
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
5110
88.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9471
163.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9422
162.8 IPS |
