iPad14,8
Geekbench AI Score
3458
Single Precision Score
5956
Half Precision Score
4814
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 06:27 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1372
255.2 IPS |
|
|
Image Classification (HP)
|
100% |
2513
467.3 IPS |
|
|
Image Classification (Q)
|
96% |
1756
327.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1520
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2472
40.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2833
45.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6842
7.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
14927
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12737
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1568
124.4 IPS |
|
|
Object Detection (HP)
|
97% |
2880
229.3 IPS |
|
|
Object Detection (Q)
|
94% |
2072
165.2 IPS |
|
|
Face Detection (SP)
|
100% |
3175
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
6200
73.7 IPS |
|
|
Face Detection (Q)
|
100% |
3555
42.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5681
43.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11657
90.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8000
62.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18848
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28502
36.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23719
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4095
151.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4813
177.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3590
132.6 IPS |
|
|
Text Classification (SP)
|
100% |
2216
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3700
4.94 KIPS |
|
|
Text Classification (Q)
|
93% |
3672
4.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3552
61.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5741
99.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5737
99.1 IPS |
