iPad17,1
Geekbench AI Score
5316
Single Precision Score
8665
Half Precision Score
6865
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Atom_Ant |
| Upload Date | December 06 2025 09:20 PM |
| Views | 3 |
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% |
2261
420.5 IPS |
|
|
Image Classification (HP)
|
100% |
3752
697.8 IPS |
|
|
Image Classification (Q)
|
96% |
2530
472.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2351
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3487
56.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3773
61.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11364
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
20917
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17839
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2670
211.8 IPS |
|
|
Object Detection (HP)
|
97% |
4228
336.6 IPS |
|
|
Object Detection (Q)
|
94% |
2957
235.7 IPS |
|
|
Face Detection (SP)
|
100% |
4784
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
8546
101.5 IPS |
|
|
Face Detection (Q)
|
100% |
4777
56.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9147
70.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
15307
118.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10539
82.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27291
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
41379
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33867
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6020
222.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7299
269.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5186
191.5 IPS |
|
|
Text Classification (SP)
|
100% |
3017
4.03 KIPS |
|
|
Text Classification (HP)
|
99% |
5512
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5510
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
5161
88.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9478
163.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9479
163.8 IPS |
