iPad14,8
Geekbench AI Score
3444
Single Precision Score
5908
Half Precision Score
4793
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 01:05 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1383
257.1 IPS |
|
|
Image Classification (HP)
|
100% |
2478
460.9 IPS |
|
|
Image Classification (Q)
|
96% |
1731
323.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1515
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2428
39.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2817
45.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6884
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
14838
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12783
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1560
123.7 IPS |
|
|
Object Detection (HP)
|
97% |
2887
229.9 IPS |
|
|
Object Detection (Q)
|
94% |
2078
165.6 IPS |
|
|
Face Detection (SP)
|
100% |
3138
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
6174
73.4 IPS |
|
|
Face Detection (Q)
|
100% |
3526
41.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5694
43.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11601
89.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7999
62.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18860
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28507
36.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23694
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4074
150.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4800
177.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3612
133.4 IPS |
|
|
Text Classification (SP)
|
100% |
2169
2.90 KIPS |
|
|
Text Classification (HP)
|
100% |
3622
4.83 KIPS |
|
|
Text Classification (Q)
|
93% |
3594
4.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3510
60.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5666
97.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5701
98.5 IPS |
