iPad17,1
Geekbench AI Score
5356
Single Precision Score
8649
Half Precision Score
6849
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 08 2025 07:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad17,1 |
| Model ID | iPad17,1 |
| Motherboard | J817AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2269
421.9 IPS |
|
|
Image Classification (HP)
|
100% |
3714
690.7 IPS |
|
|
Image Classification (Q)
|
96% |
2500
466.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2388
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3525
57.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3771
61.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11304
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20910
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17852
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2662
211.2 IPS |
|
|
Object Detection (HP)
|
97% |
4204
334.7 IPS |
|
|
Object Detection (Q)
|
94% |
2942
234.5 IPS |
|
|
Face Detection (SP)
|
100% |
4802
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
8497
101.0 IPS |
|
|
Face Detection (Q)
|
100% |
4731
56.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9122
70.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15240
117.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10563
82.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27525
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41490
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33842
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6032
222.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7419
274.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5190
191.6 IPS |
|
|
Text Classification (SP)
|
100% |
3205
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5517
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5536
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
5120
88.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9263
160.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9445
163.2 IPS |
