iPad17,2
Geekbench AI Score
5271
Single Precision Score
8594
Half Precision Score
6815
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 10:24 PM |
| Views | 1 |
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, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2234
415.4 IPS |
|
|
Image Classification (HP)
|
100% |
3710
689.9 IPS |
|
|
Image Classification (Q)
|
96% |
2496
466.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2330
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3461
56.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3799
61.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10867
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
20698
24.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
17718
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
2637
209.2 IPS |
|
|
Object Detection (HP)
|
97% |
4171
332.1 IPS |
|
|
Object Detection (Q)
|
94% |
2907
231.7 IPS |
|
|
Face Detection (SP)
|
100% |
4654
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
8388
99.7 IPS |
|
|
Face Detection (Q)
|
100% |
4710
56.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9028
69.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
15082
116.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10475
81.8 IPS |
|
|
Style Transfer (SP)
|
100% |
27242
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
41142
52.9 IPS |
|
|
Style Transfer (Q)
|
96% |
33615
43.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5971
220.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7419
274.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5186
191.5 IPS |
|
|
Text Classification (SP)
|
100% |
3195
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5494
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5491
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
5087
87.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9355
161.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9373
162.0 IPS |
