iPad14,6
Geekbench AI Score
2345
Single Precision Score
12066
Half Precision Score
12846
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | DFW |
| Upload Date | September 02 2024 06:28 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1250
232.4 IPS |
|
|
Image Classification (HP)
|
100% |
7128
1.33 KIPS |
|
|
Image Classification (Q)
|
99% |
7685
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
745
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5052
81.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
5139
83.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5974
6.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
86816
101.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
86696
101.7 IPS |
|
|
Object Detection (SP)
|
100% |
1348
107.0 IPS |
|
|
Object Detection (HP)
|
99% |
8303
660.5 IPS |
|
|
Object Detection (Q)
|
93% |
8726
696.2 IPS |
|
|
Face Detection (SP)
|
100% |
2474
29.4 IPS |
|
|
Face Detection (HP)
|
100% |
11280
134.0 IPS |
|
|
Face Detection (Q)
|
100% |
13228
157.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4096
31.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
45972
354.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
50824
393.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11083
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
137833
177.2 IPS |
|
|
Style Transfer (Q)
|
100% |
137475
176.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3130
115.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18896
697.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
23984
888.6 IPS |
|
|
Text Classification (SP)
|
100% |
1201
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
791
1.06 KIPS |
|
|
Text Classification (Q)
|
93% |
787
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1593
27.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2360
40.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2348
40.6 IPS |
