iPad17,2
Geekbench AI Score
5239
Single Precision Score
8527
Half Precision Score
6758
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 10:43 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2241
416.7 IPS |
|
|
Image Classification (HP)
|
100% |
3678
683.9 IPS |
|
|
Image Classification (Q)
|
96% |
2465
460.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2177
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3251
52.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3500
56.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11215
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
20769
24.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
17764
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
2637
209.2 IPS |
|
|
Object Detection (HP)
|
97% |
4155
330.8 IPS |
|
|
Object Detection (Q)
|
94% |
2902
231.3 IPS |
|
|
Face Detection (SP)
|
100% |
4716
56.0 IPS |
|
|
Face Detection (HP)
|
100% |
8325
98.9 IPS |
|
|
Face Detection (Q)
|
100% |
4693
55.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9057
69.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
15143
117.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10506
82.0 IPS |
|
|
Style Transfer (SP)
|
100% |
27026
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
41119
52.9 IPS |
|
|
Style Transfer (Q)
|
96% |
33647
43.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5799
214.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7177
265.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5113
188.8 IPS |
|
|
Text Classification (SP)
|
100% |
3189
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5503
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5544
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
5065
87.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9620
166.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9504
164.2 IPS |
