iPad14,8
Geekbench AI Score
3452
Single Precision Score
5946
Half Precision Score
4803
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | pakitt |
| Upload Date | September 19 2024 03:59 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad14,8 |
| Model ID | iPad14,8 |
| Motherboard | J507AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1379
256.4 IPS |
|
|
Image Classification (HP)
|
100% |
2503
465.4 IPS |
|
|
Image Classification (Q)
|
96% |
1733
323.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1541
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2490
40.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2834
45.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6873
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
14894
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12815
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1553
123.2 IPS |
|
|
Object Detection (HP)
|
97% |
2881
229.4 IPS |
|
|
Object Detection (Q)
|
94% |
2077
165.6 IPS |
|
|
Face Detection (SP)
|
100% |
3146
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
6141
73.0 IPS |
|
|
Face Detection (Q)
|
100% |
3530
41.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5655
43.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11633
89.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7999
62.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18799
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28615
36.8 IPS |
|
|
Style Transfer (Q)
|
96% |
23730
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4065
150.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4855
179.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3597
132.8 IPS |
|
|
Text Classification (SP)
|
100% |
2176
2.90 KIPS |
|
|
Text Classification (HP)
|
100% |
3605
4.81 KIPS |
|
|
Text Classification (Q)
|
93% |
3611
4.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3582
61.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5779
99.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5751
99.4 IPS |
