iPad16,1
Geekbench AI Score
3926
Single Precision Score
6882
Half Precision Score
5674
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 18 2025 01:32 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPad16,1 |
| Model ID | iPad16,1 |
| Motherboard | J410AP |
| 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% |
1728
321.4 IPS |
|
|
Image Classification (HP)
|
100% |
2952
549.0 IPS |
|
|
Image Classification (Q)
|
96% |
2041
381.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1631
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2354
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3062
49.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7563
8.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
15513
18.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13607
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1760
139.6 IPS |
|
|
Object Detection (HP)
|
97% |
3324
264.6 IPS |
|
|
Object Detection (Q)
|
94% |
2357
187.9 IPS |
|
|
Face Detection (SP)
|
100% |
3271
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
6810
80.9 IPS |
|
|
Face Detection (Q)
|
100% |
3798
45.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6701
51.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12915
99.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8913
69.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20527
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32567
41.9 IPS |
|
|
Style Transfer (Q)
|
96% |
27245
35.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4698
173.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5745
212.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4401
162.5 IPS |
|
|
Text Classification (SP)
|
100% |
3243
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
5670
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5884
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3388
58.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7133
123.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7225
124.9 IPS |
