iPad17,2
Geekbench AI Score
5317
Single Precision Score
8662
Half Precision Score
6835
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 02:53 AM |
| Views | 3 |
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% |
2292
426.3 IPS |
|
|
Image Classification (HP)
|
100% |
3723
692.4 IPS |
|
|
Image Classification (Q)
|
96% |
2516
469.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2356
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3470
56.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3799
61.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11343
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20945
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17832
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2649
210.1 IPS |
|
|
Object Detection (HP)
|
97% |
4208
335.0 IPS |
|
|
Object Detection (Q)
|
94% |
2938
234.2 IPS |
|
|
Face Detection (SP)
|
100% |
4791
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
8510
101.1 IPS |
|
|
Face Detection (Q)
|
100% |
4734
56.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9128
70.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14801
114.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10519
82.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27358
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41250
53.0 IPS |
|
|
Style Transfer (Q)
|
96% |
33809
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5993
221.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7376
272.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5189
191.6 IPS |
|
|
Text Classification (SP)
|
100% |
3067
4.09 KIPS |
|
|
Text Classification (HP)
|
99% |
5503
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5542
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
5063
87.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9905
171.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9189
158.8 IPS |
