iPad17,1
Geekbench AI Score
5328
Single Precision Score
8608
Half Precision Score
6835
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 28 2025 06:15 PM |
| Views | 4 |
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% |
2274
422.9 IPS |
|
|
Image Classification (HP)
|
100% |
3686
685.6 IPS |
|
|
Image Classification (Q)
|
96% |
2493
465.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2300
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3392
55.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3750
60.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11393
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
20956
24.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17884
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2666
211.5 IPS |
|
|
Object Detection (HP)
|
97% |
4210
335.2 IPS |
|
|
Object Detection (Q)
|
94% |
2933
233.8 IPS |
|
|
Face Detection (SP)
|
100% |
4707
55.9 IPS |
|
|
Face Detection (HP)
|
100% |
8485
100.8 IPS |
|
|
Face Detection (Q)
|
100% |
4740
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9054
69.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
15302
118.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10588
82.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27339
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
41447
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33822
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6034
222.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7324
270.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5167
190.8 IPS |
|
|
Text Classification (SP)
|
100% |
3201
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5626
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5545
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
5158
88.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9133
157.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9343
161.5 IPS |
