iPad16,2
Geekbench AI Score
3918
Single Precision Score
6880
Half Precision Score
5621
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 08 2025 05:21 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad16,2 |
| Model ID | iPad16,2 |
| Motherboard | J411AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.77 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1694
315.0 IPS |
|
|
Image Classification (HP)
|
100% |
2951
548.8 IPS |
|
|
Image Classification (Q)
|
96% |
2022
377.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1627
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2348
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3042
49.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7729
9.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
15717
18.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13517
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1753
139.1 IPS |
|
|
Object Detection (HP)
|
97% |
3261
259.6 IPS |
|
|
Object Detection (Q)
|
94% |
2360
188.1 IPS |
|
|
Face Detection (SP)
|
100% |
3226
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
6800
80.8 IPS |
|
|
Face Detection (Q)
|
100% |
3706
44.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6637
51.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12653
97.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8815
68.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20156
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
33211
42.7 IPS |
|
|
Style Transfer (Q)
|
96% |
26708
34.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4694
173.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5664
209.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4392
162.2 IPS |
|
|
Text Classification (SP)
|
100% |
3257
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5484
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5457
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3462
59.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7548
130.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7682
132.8 IPS |
