iPad14,8
Geekbench AI Score
3461
Single Precision Score
5959
Half Precision Score
4817
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 17 2024 09:28 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1386
257.7 IPS |
|
|
Image Classification (HP)
|
100% |
2514
467.6 IPS |
|
|
Image Classification (Q)
|
96% |
1749
326.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1521
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2458
39.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2831
45.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6898
8.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
14814
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12709
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1565
124.1 IPS |
|
|
Object Detection (HP)
|
97% |
2881
229.4 IPS |
|
|
Object Detection (Q)
|
94% |
2082
165.9 IPS |
|
|
Face Detection (SP)
|
100% |
3163
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
6246
74.2 IPS |
|
|
Face Detection (Q)
|
100% |
3555
42.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5686
43.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11678
90.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7983
62.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18899
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28468
36.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23717
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4059
149.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4845
178.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3604
133.1 IPS |
|
|
Text Classification (SP)
|
100% |
2215
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3677
4.91 KIPS |
|
|
Text Classification (Q)
|
93% |
3706
4.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3551
61.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5789
100.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5718
98.8 IPS |
