iPad14,8
Geekbench AI Score
2875
Single Precision Score
4915
Half Precision Score
4002
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 24 2024 09:13 PM |
| 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 | 3.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1302
242.2 IPS |
|
|
Image Classification (HP)
|
100% |
2380
442.5 IPS |
|
|
Image Classification (Q)
|
96% |
1656
309.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1391
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2384
38.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2668
43.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6337
7.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
14448
16.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11854
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1201
95.3 IPS |
|
|
Object Detection (HP)
|
97% |
2707
215.5 IPS |
|
|
Object Detection (Q)
|
94% |
1852
147.6 IPS |
|
|
Face Detection (SP)
|
100% |
2747
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
5730
68.1 IPS |
|
|
Face Detection (Q)
|
100% |
3015
35.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5010
38.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
8521
65.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
4563
35.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10687
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
20775
26.7 IPS |
|
|
Style Transfer (Q)
|
96% |
17723
22.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3006
111.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3176
117.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3121
115.2 IPS |
|
|
Text Classification (SP)
|
100% |
2006
2.68 KIPS |
|
|
Text Classification (HP)
|
100% |
3588
4.79 KIPS |
|
|
Text Classification (Q)
|
93% |
3587
4.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3160
54.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3213
55.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3987
68.9 IPS |
