iPad16,6
Geekbench AI Score
4610
Single Precision Score
7596
Half Precision Score
6683
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| Upload Date | August 17 2024 12:59 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,6 |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.01 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1881
349.8 IPS |
|
|
Image Classification (HP)
|
100% |
3267
607.6 IPS |
|
|
Image Classification (Q)
|
99% |
3241
604.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1999
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3176
51.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
3195
51.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9956
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18478
21.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
16228
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2199
174.5 IPS |
|
|
Object Detection (HP)
|
97% |
3797
302.3 IPS |
|
|
Object Detection (Q)
|
94% |
2681
213.7 IPS |
|
|
Face Detection (SP)
|
100% |
3853
45.8 IPS |
|
|
Face Detection (HP)
|
100% |
7173
85.2 IPS |
|
|
Face Detection (Q)
|
100% |
4357
51.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8241
63.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
14158
109.4 IPS |
|
|
Depth Estimation (Q)
|
96% |
14601
112.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25008
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
36828
47.3 IPS |
|
|
Style Transfer (Q)
|
100% |
37903
48.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5779
213.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6753
249.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4716
174.7 IPS |
|
|
Text Classification (SP)
|
100% |
2942
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5130
6.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5158
6.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3905
67.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6787
117.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6733
116.4 IPS |
