iPad17,1
Geekbench AI Score
5338
Single Precision Score
8622
Half Precision Score
6845
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | harry34x |
| Upload Date | October 23 2025 12:49 PM |
| Views | 8 |
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 | 4.42 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2257
419.7 IPS |
|
|
Image Classification (HP)
|
100% |
3648
678.4 IPS |
|
|
Image Classification (Q)
|
96% |
2477
462.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2433
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3482
56.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3799
61.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11325
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20845
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17828
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2659
210.9 IPS |
|
|
Object Detection (HP)
|
97% |
4207
335.0 IPS |
|
|
Object Detection (Q)
|
94% |
2935
233.9 IPS |
|
|
Face Detection (SP)
|
100% |
4829
57.4 IPS |
|
|
Face Detection (HP)
|
100% |
8513
101.2 IPS |
|
|
Face Detection (Q)
|
100% |
4781
56.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9131
70.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15263
118.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10578
82.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27515
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41387
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33919
43.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5995
221.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7284
269.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5203
192.1 IPS |
|
|
Text Classification (SP)
|
100% |
3035
4.05 KIPS |
|
|
Text Classification (HP)
|
99% |
5539
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5491
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
5149
88.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9400
162.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9369
161.9 IPS |
