iPad17,2
Geekbench AI Score
5309
Single Precision Score
8658
Half Precision Score
6878
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 02:32 PM |
| 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 | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2278
423.7 IPS |
|
|
Image Classification (HP)
|
100% |
3726
693.0 IPS |
|
|
Image Classification (Q)
|
96% |
2521
470.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2385
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3502
56.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3811
61.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11014
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20941
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17831
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2671
211.9 IPS |
|
|
Object Detection (HP)
|
97% |
4212
335.3 IPS |
|
|
Object Detection (Q)
|
94% |
2936
234.0 IPS |
|
|
Face Detection (SP)
|
100% |
4802
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
8536
101.4 IPS |
|
|
Face Detection (Q)
|
100% |
4782
56.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9139
70.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15238
117.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10577
82.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27401
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41422
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33839
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5998
221.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7327
270.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5182
191.3 IPS |
|
|
Text Classification (SP)
|
100% |
3054
4.08 KIPS |
|
|
Text Classification (HP)
|
99% |
5502
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5579
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
5061
87.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9476
163.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9522
164.5 IPS |
