iPad14,4
Geekbench AI Score
3210
Single Precision Score
4796
Half Precision Score
4093
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 17 2024 04:18 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad14,4 |
| Model ID | iPad14,4 |
| Motherboard | J618AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.29 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1524
283.4 IPS |
|
|
Image Classification (HP)
|
100% |
1932
359.3 IPS |
|
|
Image Classification (Q)
|
96% |
1441
269.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1313
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1302
21.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1845
29.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6082
7.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
14292
16.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12384
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1586
125.8 IPS |
|
|
Object Detection (HP)
|
97% |
2259
179.8 IPS |
|
|
Object Detection (Q)
|
94% |
1716
136.8 IPS |
|
|
Face Detection (SP)
|
100% |
2860
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
4421
52.5 IPS |
|
|
Face Detection (Q)
|
100% |
2877
34.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5341
41.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
8548
66.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
6404
50.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17175
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26808
34.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22385
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3583
132.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4792
176.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3583
132.3 IPS |
|
|
Text Classification (SP)
|
100% |
2191
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
3590
4.79 KIPS |
|
|
Text Classification (Q)
|
93% |
3514
4.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
2929
50.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4549
78.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4507
77.9 IPS |
