iPad16,5
Geekbench AI Score
4416
Single Precision Score
6294
Half Precision Score
5195
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | darios |
| Upload Date | August 15 2024 07:39 PM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad16,5 |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1905
354.3 IPS |
|
|
Image Classification (HP)
|
100% |
2575
478.8 IPS |
|
|
Image Classification (Q)
|
99% |
2555
476.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1781
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1739
28.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
1718
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9817
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18704
21.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
15992
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2075
164.6 IPS |
|
|
Object Detection (HP)
|
97% |
3001
238.9 IPS |
|
|
Object Detection (Q)
|
94% |
2262
180.3 IPS |
|
|
Face Detection (SP)
|
100% |
3577
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
5715
67.9 IPS |
|
|
Face Detection (Q)
|
100% |
3658
43.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7594
58.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
11147
86.1 IPS |
|
|
Depth Estimation (Q)
|
96% |
5710
44.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23871
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34979
45.0 IPS |
|
|
Style Transfer (Q)
|
100% |
35089
45.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5722
211.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6813
251.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4809
178.2 IPS |
|
|
Text Classification (SP)
|
100% |
3082
4.11 KIPS |
|
|
Text Classification (HP)
|
100% |
5027
6.71 KIPS |
|
|
Text Classification (Q)
|
93% |
5011
6.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3569
61.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5087
87.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5108
88.3 IPS |
