iPad17,2
Geekbench AI Score
5326
Single Precision Score
8661
Half Precision Score
6866
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 03:57 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad17,2 |
| Model ID | iPad17,2 |
| Motherboard | J818AP |
| 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 | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2280
424.0 IPS |
|
|
Image Classification (HP)
|
100% |
3707
689.4 IPS |
|
|
Image Classification (Q)
|
96% |
2518
470.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2343
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3467
56.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3805
61.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11026
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20983
24.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17883
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2673
212.1 IPS |
|
|
Object Detection (HP)
|
97% |
4208
335.0 IPS |
|
|
Object Detection (Q)
|
94% |
2946
234.8 IPS |
|
|
Face Detection (SP)
|
100% |
4820
57.3 IPS |
|
|
Face Detection (HP)
|
100% |
8507
101.1 IPS |
|
|
Face Detection (Q)
|
100% |
4738
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9149
70.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
15271
118.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10579
82.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27517
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41381
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33825
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6013
222.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7365
272.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5183
191.4 IPS |
|
|
Text Classification (SP)
|
100% |
3043
4.06 KIPS |
|
|
Text Classification (HP)
|
99% |
5548
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5564
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
5260
90.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9539
164.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9446
163.2 IPS |
