iPad17,2
Geekbench AI Score
5265
Single Precision Score
8587
Half Precision Score
6779
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 04 2025 01:02 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, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2277
423.5 IPS |
|
|
Image Classification (HP)
|
100% |
3705
689.0 IPS |
|
|
Image Classification (Q)
|
96% |
2490
464.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2187
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3301
53.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3505
56.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10965
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
20822
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17752
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
2656
210.7 IPS |
|
|
Object Detection (HP)
|
97% |
4172
332.1 IPS |
|
|
Object Detection (Q)
|
94% |
2906
231.7 IPS |
|
|
Face Detection (SP)
|
100% |
4743
56.4 IPS |
|
|
Face Detection (HP)
|
100% |
8427
100.1 IPS |
|
|
Face Detection (Q)
|
100% |
4709
56.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9059
69.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
15115
116.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10488
81.9 IPS |
|
|
Style Transfer (SP)
|
100% |
27403
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41100
52.8 IPS |
|
|
Style Transfer (Q)
|
96% |
33662
43.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5885
217.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7202
265.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5151
190.2 IPS |
|
|
Text Classification (SP)
|
100% |
3220
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5742
7.66 KIPS |
|
|
Text Classification (Q)
|
93% |
5613
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
5062
87.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9483
163.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9484
163.9 IPS |
