iPad14,4
Geekbench AI Score
3459
Single Precision Score
5958
Half Precision Score
4819
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 25 2024 05:40 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| Model | iPad14,4 |
| Model ID | iPad14,4 |
| Motherboard | J618AP |
| 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 | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1380
256.6 IPS |
|
|
Image Classification (HP)
|
100% |
2532
470.8 IPS |
|
|
Image Classification (Q)
|
96% |
1766
329.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1529
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2476
40.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2842
46.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6890
8.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
14698
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12722
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1563
124.0 IPS |
|
|
Object Detection (HP)
|
97% |
2894
230.4 IPS |
|
|
Object Detection (Q)
|
94% |
2082
166.0 IPS |
|
|
Face Detection (SP)
|
100% |
3178
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
6202
73.7 IPS |
|
|
Face Detection (Q)
|
100% |
3567
42.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5663
43.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11608
89.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8016
62.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18979
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
28734
36.9 IPS |
|
|
Style Transfer (Q)
|
96% |
23714
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4072
150.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4805
177.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3571
131.8 IPS |
|
|
Text Classification (SP)
|
100% |
2180
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
3704
4.94 KIPS |
|
|
Text Classification (Q)
|
93% |
3695
4.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3560
61.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5746
99.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5685
98.2 IPS |
