iPad16,4
Geekbench AI Score
4713
Single Precision Score
7825
Half Precision Score
6250
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 03:30 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad16,4 |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| 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 | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2022
375.9 IPS |
|
|
Image Classification (HP)
|
100% |
3366
626.0 IPS |
|
|
Image Classification (Q)
|
96% |
2337
436.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2156
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3329
54.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3635
58.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10056
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19100
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16454
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2241
177.8 IPS |
|
|
Object Detection (HP)
|
97% |
3798
302.4 IPS |
|
|
Object Detection (Q)
|
94% |
2682
213.8 IPS |
|
|
Face Detection (SP)
|
100% |
3949
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
7721
91.7 IPS |
|
|
Face Detection (Q)
|
100% |
4462
53.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8294
63.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14737
113.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10189
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25072
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37981
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31363
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5844
215.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6890
254.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4884
180.4 IPS |
|
|
Text Classification (SP)
|
100% |
2936
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5222
6.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5107
6.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3914
67.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6811
117.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6825
117.9 IPS |
