iPad14,4
Geekbench AI Score
3464
Single Precision Score
5912
Half Precision Score
4792
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 26 2024 12:34 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad14,4 |
| Model ID | iPad14,4 |
| Motherboard | J618AP |
| 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 | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1375
255.7 IPS |
|
|
Image Classification (HP)
|
100% |
2517
468.2 IPS |
|
|
Image Classification (Q)
|
96% |
1760
328.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1573
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2451
39.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2818
45.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6904
8.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
14754
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12599
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1555
123.3 IPS |
|
|
Object Detection (HP)
|
97% |
2882
229.5 IPS |
|
|
Object Detection (Q)
|
94% |
2079
165.7 IPS |
|
|
Face Detection (SP)
|
100% |
3170
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
6183
73.5 IPS |
|
|
Face Detection (Q)
|
100% |
3548
42.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5689
43.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11550
89.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7980
62.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18845
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28424
36.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23876
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4046
149.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4744
175.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3556
131.3 IPS |
|
|
Text Classification (SP)
|
100% |
2188
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
3611
4.82 KIPS |
|
|
Text Classification (Q)
|
93% |
3603
4.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3561
61.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5719
98.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5681
98.2 IPS |
