iPad16,4
Geekbench AI Score
4505
Single Precision Score
7698
Half Precision Score
6704
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | owine |
| Upload Date | August 16 2024 01:10 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad16,4 |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 3.98 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.15 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1932
359.2 IPS |
|
|
Image Classification (HP)
|
100% |
3237
602.1 IPS |
|
|
Image Classification (Q)
|
99% |
3350
624.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2069
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3147
51.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
3086
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7508
8.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
18894
22.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
15355
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2191
173.8 IPS |
|
|
Object Detection (HP)
|
97% |
3791
301.8 IPS |
|
|
Object Detection (Q)
|
94% |
2669
212.7 IPS |
|
|
Face Detection (SP)
|
100% |
3740
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
7414
88.1 IPS |
|
|
Face Detection (Q)
|
100% |
4372
52.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8047
62.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
14665
113.3 IPS |
|
|
Depth Estimation (Q)
|
96% |
14730
113.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25281
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36319
46.7 IPS |
|
|
Style Transfer (Q)
|
100% |
37973
48.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5680
209.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6915
255.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4829
178.9 IPS |
|
|
Text Classification (SP)
|
100% |
3095
4.13 KIPS |
|
|
Text Classification (HP)
|
100% |
5353
7.15 KIPS |
|
|
Text Classification (Q)
|
93% |
5367
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3923
67.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6857
118.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6838
118.2 IPS |
