iPad17,1
Geekbench AI Score
5348
Single Precision Score
8654
Half Precision Score
6860
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 16 2026 07:03 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2288
425.5 IPS |
|
|
Image Classification (HP)
|
100% |
3697
687.5 IPS |
|
|
Image Classification (Q)
|
96% |
2501
467.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2363
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3458
56.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3794
61.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11380
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
20981
24.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17848
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2674
212.1 IPS |
|
|
Object Detection (HP)
|
97% |
4256
338.9 IPS |
|
|
Object Detection (Q)
|
94% |
2944
234.7 IPS |
|
|
Face Detection (SP)
|
100% |
4829
57.4 IPS |
|
|
Face Detection (HP)
|
100% |
8535
101.4 IPS |
|
|
Face Detection (Q)
|
100% |
4752
56.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9176
70.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
15223
117.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10583
82.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27126
34.9 IPS |
|
|
Style Transfer (HP)
|
100% |
41487
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33858
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6050
223.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7313
270.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5167
190.8 IPS |
|
|
Text Classification (SP)
|
100% |
3056
4.08 KIPS |
|
|
Text Classification (HP)
|
99% |
5595
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5525
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
5239
90.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9358
161.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9525
164.6 IPS |
