iPad16,2
Geekbench AI Score
3999
Single Precision Score
6872
Half Precision Score
5617
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 10:47 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 7.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1738
323.2 IPS |
|
|
Image Classification (HP)
|
100% |
2943
547.2 IPS |
|
|
Image Classification (Q)
|
96% |
2012
375.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1655
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2393
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3119
50.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7919
9.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
15978
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13948
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1816
144.0 IPS |
|
|
Object Detection (HP)
|
97% |
3378
268.9 IPS |
|
|
Object Detection (Q)
|
94% |
2360
188.1 IPS |
|
|
Face Detection (SP)
|
100% |
3328
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
7013
83.3 IPS |
|
|
Face Detection (Q)
|
100% |
3952
47.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6984
53.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
13683
105.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
9084
71.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21127
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32449
41.7 IPS |
|
|
Style Transfer (Q)
|
96% |
27248
35.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4864
179.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5737
211.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4366
161.2 IPS |
|
|
Text Classification (SP)
|
100% |
3210
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5597
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5670
7.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3300
56.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6185
106.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6252
108.0 IPS |
