iPad16,4
Geekbench AI Score
4699
Single Precision Score
7839
Half Precision Score
6778
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | crisss1205 |
| Upload Date | August 15 2024 11:06 PM |
| Views | 4 |
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% |
1989
370.0 IPS |
|
|
Image Classification (HP)
|
100% |
3382
628.9 IPS |
|
|
Image Classification (Q)
|
99% |
3352
625.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2105
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3321
53.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
3293
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10033
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19095
22.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
16283
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2213
175.6 IPS |
|
|
Object Detection (HP)
|
97% |
3824
304.5 IPS |
|
|
Object Detection (Q)
|
94% |
2705
215.6 IPS |
|
|
Face Detection (SP)
|
100% |
3946
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
7700
91.5 IPS |
|
|
Face Detection (Q)
|
100% |
4428
52.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8308
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
14668
113.3 IPS |
|
|
Depth Estimation (Q)
|
96% |
14746
114.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25076
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37944
48.8 IPS |
|
|
Style Transfer (Q)
|
100% |
37862
48.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5851
216.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6877
253.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4832
179.0 IPS |
|
|
Text Classification (SP)
|
100% |
3008
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5268
7.03 KIPS |
|
|
Text Classification (Q)
|
93% |
5148
6.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3904
67.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6886
119.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6855
118.5 IPS |
