iPad16,4
Geekbench AI Score
4409
Single Precision Score
6314
Half Precision Score
5219
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | ChrisMunson |
| Upload Date | August 19 2024 06:52 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad16,4 |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| 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 | 15.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1893
352.0 IPS |
|
|
Image Classification (HP)
|
100% |
2561
476.2 IPS |
|
|
Image Classification (Q)
|
99% |
2562
477.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1788
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1739
28.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
1734
28.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9798
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18728
21.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
15984
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2068
164.0 IPS |
|
|
Object Detection (HP)
|
97% |
2999
238.8 IPS |
|
|
Object Detection (Q)
|
94% |
2266
180.6 IPS |
|
|
Face Detection (SP)
|
100% |
3546
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
5683
67.5 IPS |
|
|
Face Detection (Q)
|
100% |
3641
43.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7593
58.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
11127
86.0 IPS |
|
|
Depth Estimation (Q)
|
96% |
5719
44.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24071
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35263
45.3 IPS |
|
|
Style Transfer (Q)
|
100% |
35238
45.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5746
212.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6846
252.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4814
178.4 IPS |
|
|
Text Classification (SP)
|
100% |
3065
4.09 KIPS |
|
|
Text Classification (HP)
|
100% |
5171
6.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5142
6.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3550
61.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5102
88.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5130
88.7 IPS |
