iPad17,2
Geekbench AI Score
5291
Single Precision Score
8592
Half Precision Score
6812
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 10 2025 06:10 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad17,2 |
| Model ID | iPad17,2 |
| Motherboard | J818AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2277
423.5 IPS |
|
|
Image Classification (HP)
|
100% |
3747
696.9 IPS |
|
|
Image Classification (Q)
|
96% |
2524
471.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2182
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3246
52.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3547
57.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11093
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20955
24.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17855
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2688
213.2 IPS |
|
|
Object Detection (HP)
|
97% |
4195
334.0 IPS |
|
|
Object Detection (Q)
|
94% |
2933
233.8 IPS |
|
|
Face Detection (SP)
|
100% |
4809
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
8511
101.1 IPS |
|
|
Face Detection (Q)
|
100% |
4747
56.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9133
70.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15258
117.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10578
82.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27069
34.8 IPS |
|
|
Style Transfer (HP)
|
100% |
41430
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33787
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5904
218.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7126
263.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5170
190.9 IPS |
|
|
Text Classification (SP)
|
100% |
3197
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5645
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5535
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
5181
89.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9484
163.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9463
163.5 IPS |
