iPad16,6
Geekbench AI Score
4440
Single Precision Score
6336
Half Precision Score
5240
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | stery72 |
| Upload Date | August 16 2024 04:51 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad16,6 |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1943
361.4 IPS |
|
|
Image Classification (HP)
|
100% |
2599
483.2 IPS |
|
|
Image Classification (Q)
|
99% |
2590
483.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1817
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1756
28.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
1769
28.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9845
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18737
21.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
16024
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
2082
165.2 IPS |
|
|
Object Detection (HP)
|
97% |
3030
241.2 IPS |
|
|
Object Detection (Q)
|
94% |
2284
182.0 IPS |
|
|
Face Detection (SP)
|
100% |
3573
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
5759
68.4 IPS |
|
|
Face Detection (Q)
|
100% |
3704
44.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7579
58.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
11133
86.0 IPS |
|
|
Depth Estimation (Q)
|
96% |
5721
44.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24016
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35348
45.4 IPS |
|
|
Style Transfer (Q)
|
100% |
35284
45.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5781
213.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6799
251.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4792
177.5 IPS |
|
|
Text Classification (SP)
|
100% |
3077
4.11 KIPS |
|
|
Text Classification (HP)
|
100% |
5058
6.75 KIPS |
|
|
Text Classification (Q)
|
93% |
5005
6.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
3561
61.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5169
89.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5199
89.9 IPS |
