iPad14,6
Geekbench AI Score
3215
Single Precision Score
4771
Half Precision Score
3971
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | DFW |
| Upload Date | September 02 2024 06:31 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad14,6 |
| Model ID | iPad14,6 |
| Motherboard | J621AP |
| 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 | 15.31 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1499
278.7 IPS |
|
|
Image Classification (HP)
|
100% |
1899
353.1 IPS |
|
|
Image Classification (Q)
|
99% |
1917
357.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1313
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1291
20.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
1285
20.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6113
7.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
14395
16.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12271
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1578
125.2 IPS |
|
|
Object Detection (HP)
|
97% |
2249
179.1 IPS |
|
|
Object Detection (Q)
|
94% |
1727
137.7 IPS |
|
|
Face Detection (SP)
|
100% |
2876
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
4441
52.8 IPS |
|
|
Face Detection (Q)
|
100% |
2867
34.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5348
41.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8603
66.5 IPS |
|
|
Depth Estimation (Q)
|
96% |
4383
33.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17282
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
27207
35.0 IPS |
|
|
Style Transfer (Q)
|
100% |
27077
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3698
136.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4791
176.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3513
130.1 IPS |
|
|
Text Classification (SP)
|
100% |
2252
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3444
4.60 KIPS |
|
|
Text Classification (Q)
|
93% |
3466
4.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
2815
48.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4490
77.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4516
78.0 IPS |
