iPhone 12 Pro
Geekbench AI Score
2686
Single Precision Score
11615
Half Precision Score
11365
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 20 2024 04:49 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1249
232.3 IPS |
|
|
Image Classification (HP)
|
100% |
4489
834.9 IPS |
|
|
Image Classification (Q)
|
96% |
4788
894.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1144
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5715
92.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
5833
94.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5069
5.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
63616
74.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
62001
72.7 IPS |
|
|
Object Detection (SP)
|
100% |
1304
103.4 IPS |
|
|
Object Detection (HP)
|
99% |
6167
490.6 IPS |
|
|
Object Detection (Q)
|
91% |
5778
461.7 IPS |
|
|
Face Detection (SP)
|
100% |
2536
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
14367
170.7 IPS |
|
|
Face Detection (Q)
|
100% |
11958
142.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4762
36.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
37587
289.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
38661
302.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12942
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
101555
130.6 IPS |
|
|
Style Transfer (Q)
|
96% |
99699
128.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2779
102.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18340
677.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18725
691.4 IPS |
|
|
Text Classification (SP)
|
100% |
2109
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
2278
3.04 KIPS |
|
|
Text Classification (Q)
|
93% |
2141
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
2260
38.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1938
33.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1946
33.6 IPS |
