iPad17,2
Geekbench AI Score
5155
Single Precision Score
8278
Half Precision Score
6602
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 10:32 PM |
| Views | 3 |
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, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.33 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2215
412.0 IPS |
|
|
Image Classification (HP)
|
100% |
3697
687.6 IPS |
|
|
Image Classification (Q)
|
96% |
2478
462.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2220
36.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3351
54.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3553
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11013
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
14515
16.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13830
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
2593
205.7 IPS |
|
|
Object Detection (HP)
|
97% |
4140
329.6 IPS |
|
|
Object Detection (Q)
|
94% |
2888
230.2 IPS |
|
|
Face Detection (SP)
|
100% |
4646
55.2 IPS |
|
|
Face Detection (HP)
|
100% |
8418
100.0 IPS |
|
|
Face Detection (Q)
|
100% |
4660
55.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8998
69.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15033
116.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10467
81.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25767
33.1 IPS |
|
|
Style Transfer (HP)
|
100% |
41172
52.9 IPS |
|
|
Style Transfer (Q)
|
96% |
33725
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5908
218.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7323
270.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5204
192.2 IPS |
|
|
Text Classification (SP)
|
100% |
2927
3.91 KIPS |
|
|
Text Classification (HP)
|
99% |
5595
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5508
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
5076
87.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9508
164.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9500
164.2 IPS |
