iPad16,4
Geekbench AI Score
9019
Single Precision Score
10482
Half Precision Score
7830
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | crisss1205 |
| Upload Date | August 15 2024 11:04 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,4 |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4632
861.5 IPS |
|
|
Image Classification (HP)
|
100% |
4954
921.3 IPS |
|
|
Image Classification (Q)
|
99% |
4521
843.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4976
80.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6833
110.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
6706
108.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
28373
33.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
30212
35.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
28016
32.8 IPS |
|
|
Object Detection (SP)
|
100% |
4839
383.8 IPS |
|
|
Object Detection (HP)
|
100% |
5298
420.3 IPS |
|
|
Object Detection (Q)
|
91% |
4184
334.3 IPS |
|
|
Face Detection (SP)
|
100% |
12876
153.0 IPS |
|
|
Face Detection (HP)
|
100% |
16369
194.5 IPS |
|
|
Face Detection (Q)
|
100% |
11877
141.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
20793
160.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
23466
180.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
3464
26.8 IPS |
|
|
Style Transfer (SP)
|
100% |
58878
75.7 IPS |
|
|
Style Transfer (HP)
|
100% |
68321
87.8 IPS |
|
|
Style Transfer (Q)
|
100% |
67831
87.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12194
450.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12998
479.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9810
363.5 IPS |
|
|
Text Classification (SP)
|
100% |
3050
4.07 KIPS |
|
|
Text Classification (HP)
|
100% |
5336
7.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5253
7.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1920
33.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1624
28.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1697
29.3 IPS |
