iPad14,6
Geekbench AI Score
3518
Single Precision Score
6050
Half Precision Score
4876
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ocornielje |
| Upload Date | December 08 2024 01:57 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad14,6 |
| Model ID | iPad14,6 |
| Motherboard | J621AP |
| 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 | 7.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1398
260.0 IPS |
|
|
Image Classification (HP)
|
100% |
2545
473.4 IPS |
|
|
Image Classification (Q)
|
96% |
1772
330.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1591
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2547
41.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2895
46.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6905
8.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
14888
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12804
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1555
123.3 IPS |
|
|
Object Detection (HP)
|
97% |
2927
233.0 IPS |
|
|
Object Detection (Q)
|
94% |
2112
168.3 IPS |
|
|
Face Detection (SP)
|
100% |
3187
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
6265
74.4 IPS |
|
|
Face Detection (Q)
|
100% |
3585
42.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5732
44.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11736
90.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8116
63.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19061
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
28912
37.2 IPS |
|
|
Style Transfer (Q)
|
96% |
24041
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4150
153.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4917
181.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3573
131.9 IPS |
|
|
Text Classification (SP)
|
100% |
2300
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3769
5.03 KIPS |
|
|
Text Classification (Q)
|
93% |
3752
5.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3660
63.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5910
102.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5848
101.1 IPS |
