iPad17,1
Geekbench AI Score
5320
Single Precision Score
8590
Half Precision Score
6770
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 03:32 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad17,1 |
| Model ID | iPad17,1 |
| Motherboard | J817AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2263
420.9 IPS |
|
|
Image Classification (HP)
|
100% |
3671
682.7 IPS |
|
|
Image Classification (Q)
|
96% |
2491
465.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2296
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3377
54.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3746
60.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11018
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20869
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17844
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2665
211.4 IPS |
|
|
Object Detection (HP)
|
97% |
4213
335.4 IPS |
|
|
Object Detection (Q)
|
94% |
2921
232.9 IPS |
|
|
Face Detection (SP)
|
100% |
4789
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
8471
100.7 IPS |
|
|
Face Detection (Q)
|
100% |
4740
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9114
70.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
15210
117.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10520
82.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27502
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41371
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33788
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5999
221.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7344
271.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5170
190.9 IPS |
|
|
Text Classification (SP)
|
100% |
3201
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5451
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5476
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
5173
89.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9411
162.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8725
150.8 IPS |
