iPad17,1
Geekbench AI Score
5302
Single Precision Score
8635
Half Precision Score
6847
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 28 2025 01:38 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2287
425.3 IPS |
|
|
Image Classification (HP)
|
100% |
3732
694.0 IPS |
|
|
Image Classification (Q)
|
96% |
2518
470.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2318
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3453
56.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3806
61.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11293
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20915
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17844
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2671
211.9 IPS |
|
|
Object Detection (HP)
|
97% |
4207
334.9 IPS |
|
|
Object Detection (Q)
|
94% |
2938
234.2 IPS |
|
|
Face Detection (SP)
|
100% |
4774
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
8496
101.0 IPS |
|
|
Face Detection (Q)
|
100% |
4739
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9129
70.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15236
117.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10552
82.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27305
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
41296
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33755
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6010
221.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7346
271.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5188
191.6 IPS |
|
|
Text Classification (SP)
|
100% |
3068
4.10 KIPS |
|
|
Text Classification (HP)
|
99% |
5459
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5459
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
5012
86.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9485
163.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9435
163.0 IPS |
