iPhone 12 Pro
Geekbench AI Score
2551
Single Precision Score
11486
Half Precision Score
11362
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 09:39 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone 12 Pro |
| Model ID | iPhone13,3 |
| Motherboard | D53pAP |
| CPU Information | |
|---|---|
| Name | Apple A14 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1237
230.0 IPS |
|
|
Image Classification (HP)
|
100% |
4423
822.6 IPS |
|
|
Image Classification (Q)
|
96% |
4824
900.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1137
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5820
94.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5929
96.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4555
5.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
61687
72.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
61600
72.2 IPS |
|
|
Object Detection (SP)
|
100% |
1231
97.6 IPS |
|
|
Object Detection (HP)
|
99% |
6063
482.3 IPS |
|
|
Object Detection (Q)
|
91% |
5363
428.5 IPS |
|
|
Face Detection (SP)
|
100% |
2416
28.7 IPS |
|
|
Face Detection (HP)
|
100% |
14423
171.4 IPS |
|
|
Face Detection (Q)
|
100% |
11828
140.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4372
33.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
38869
299.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
38400
300.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11888
15.3 IPS |
|
|
Style Transfer (HP)
|
100% |
99294
127.6 IPS |
|
|
Style Transfer (Q)
|
96% |
99298
128.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2511
92.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18730
691.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19937
736.2 IPS |
|
|
Text Classification (SP)
|
100% |
2088
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
2251
3.00 KIPS |
|
|
Text Classification (Q)
|
93% |
2309
3.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2249
38.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1769
30.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1829
31.6 IPS |
