iPad16,2
Geekbench AI Score
4055
Single Precision Score
6958
Half Precision Score
5674
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 12:13 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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 | 7.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1739
323.3 IPS |
|
|
Image Classification (HP)
|
100% |
2939
546.5 IPS |
|
|
Image Classification (Q)
|
96% |
2021
377.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1651
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2474
40.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3126
50.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8249
9.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
16651
19.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14225
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
1832
145.3 IPS |
|
|
Object Detection (HP)
|
97% |
3396
270.4 IPS |
|
|
Object Detection (Q)
|
94% |
2370
188.9 IPS |
|
|
Face Detection (SP)
|
100% |
3342
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
7056
83.8 IPS |
|
|
Face Detection (Q)
|
100% |
3982
47.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7091
54.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
13762
106.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9403
73.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21705
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32777
42.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27585
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5031
185.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5775
213.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4408
162.8 IPS |
|
|
Text Classification (SP)
|
100% |
3209
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5687
7.59 KIPS |
|
|
Text Classification (Q)
|
93% |
5641
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3341
57.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6194
107.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6327
109.3 IPS |
