iPad16,2
Geekbench AI Score
3846
Single Precision Score
6914
Half Precision Score
5666
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 17 2025 03:18 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad16,2 |
| Model ID | iPad16,2 |
| Motherboard | J411AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1598
297.2 IPS |
|
|
Image Classification (HP)
|
100% |
2907
540.6 IPS |
|
|
Image Classification (Q)
|
96% |
2019
377.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1605
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2346
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3056
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7552
8.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
16273
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14092
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1679
133.2 IPS |
|
|
Object Detection (HP)
|
97% |
3282
261.3 IPS |
|
|
Object Detection (Q)
|
94% |
2356
187.8 IPS |
|
|
Face Detection (SP)
|
100% |
3183
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
6778
80.5 IPS |
|
|
Face Detection (Q)
|
100% |
3899
46.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6487
50.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12756
98.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8976
70.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20589
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
33184
42.7 IPS |
|
|
Style Transfer (Q)
|
96% |
27260
35.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4652
171.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5729
211.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4451
164.4 IPS |
|
|
Text Classification (SP)
|
100% |
3152
4.21 KIPS |
|
|
Text Classification (HP)
|
99% |
5256
7.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5147
6.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3494
60.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7943
137.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7629
131.8 IPS |
