iPad14,11
Geekbench AI Score
3475
Single Precision Score
5983
Half Precision Score
4837
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Stiltskein |
| Upload Date | September 18 2024 04:12 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad14,11 |
| Model ID | iPad14,11 |
| Motherboard | J538AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1401
260.6 IPS |
|
|
Image Classification (HP)
|
100% |
2546
473.4 IPS |
|
|
Image Classification (Q)
|
96% |
1779
332.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1586
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2549
41.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2880
46.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6906
8.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
14830
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12741
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1545
122.6 IPS |
|
|
Object Detection (HP)
|
97% |
2876
229.0 IPS |
|
|
Object Detection (Q)
|
94% |
2095
167.0 IPS |
|
|
Face Detection (SP)
|
100% |
3136
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
6144
73.0 IPS |
|
|
Face Detection (Q)
|
100% |
3530
41.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5627
43.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11609
89.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8011
62.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18822
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28502
36.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23748
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4084
150.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4875
180.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3592
132.6 IPS |
|
|
Text Classification (SP)
|
100% |
2260
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3721
4.97 KIPS |
|
|
Text Classification (Q)
|
93% |
3677
4.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3534
60.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5765
99.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5780
99.9 IPS |
