iPad16,1
Geekbench AI Score
3965
Single Precision Score
6840
Half Precision Score
5579
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | darios |
| Upload Date | December 14 2024 11:03 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad16,1 |
| Model ID | iPad16,1 |
| Motherboard | J410AP |
| 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 | 7.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1732
322.2 IPS |
|
|
Image Classification (HP)
|
100% |
2921
543.2 IPS |
|
|
Image Classification (Q)
|
96% |
2017
376.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1673
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2461
39.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3114
50.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7698
8.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
15663
18.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13706
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1785
141.6 IPS |
|
|
Object Detection (HP)
|
97% |
3380
269.1 IPS |
|
|
Object Detection (Q)
|
94% |
2351
187.4 IPS |
|
|
Face Detection (SP)
|
100% |
3271
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
6972
82.8 IPS |
|
|
Face Detection (Q)
|
100% |
3904
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6839
52.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13360
103.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9187
71.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20773
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32390
41.6 IPS |
|
|
Style Transfer (Q)
|
96% |
26983
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4880
180.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5772
213.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4385
161.9 IPS |
|
|
Text Classification (SP)
|
100% |
3196
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5491
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5504
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3328
57.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6167
106.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6188
106.9 IPS |
