iPad17,1
Geekbench AI Score
5155
Single Precision Score
8469
Half Precision Score
5526
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 01:13 PM |
| Views | 1 |
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% |
1974
367.1 IPS |
|
|
Image Classification (HP)
|
100% |
3514
653.5 IPS |
|
|
Image Classification (Q)
|
96% |
2443
456.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2374
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3384
54.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3741
60.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9885
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
20862
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17643
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
2626
208.3 IPS |
|
|
Object Detection (HP)
|
97% |
4181
332.9 IPS |
|
|
Object Detection (Q)
|
94% |
2921
232.8 IPS |
|
|
Face Detection (SP)
|
100% |
4793
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
8482
100.8 IPS |
|
|
Face Detection (Q)
|
100% |
4723
56.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9101
70.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
15249
117.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10540
82.3 IPS |
|
|
Style Transfer (SP)
|
100% |
26904
34.6 IPS |
|
|
Style Transfer (HP)
|
100% |
41288
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33783
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6013
222.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7358
271.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5193
191.8 IPS |
|
|
Text Classification (SP)
|
100% |
3023
4.03 KIPS |
|
|
Text Classification (HP)
|
99% |
5605
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5596
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
5114
88.1 IPS |
|
|
Machine Translation (HP)
|
98% |
8310
143.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1155
20.0 IPS |
