iPad16,4
Geekbench AI Score
4798
Single Precision Score
7796
Half Precision Score
6820
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Strumbull |
| Upload Date | August 24 2024 07:10 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2038
379.0 IPS |
|
|
Image Classification (HP)
|
100% |
3397
631.7 IPS |
|
|
Image Classification (Q)
|
99% |
3372
628.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2178
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3346
54.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
3373
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10065
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19116
22.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
16333
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2229
176.8 IPS |
|
|
Object Detection (HP)
|
97% |
3818
303.9 IPS |
|
|
Object Detection (Q)
|
94% |
2739
218.3 IPS |
|
|
Face Detection (SP)
|
100% |
4022
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
7735
91.9 IPS |
|
|
Face Detection (Q)
|
100% |
4490
53.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8316
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14819
114.5 IPS |
|
|
Depth Estimation (Q)
|
96% |
14860
114.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25075
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38023
48.9 IPS |
|
|
Style Transfer (Q)
|
100% |
37980
48.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5843
215.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6813
251.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4772
176.8 IPS |
|
|
Text Classification (SP)
|
100% |
3363
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
5214
6.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5491
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3941
67.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6460
111.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6452
111.5 IPS |
