iPhone 12 Pro
Geekbench AI Score
2615
Single Precision Score
4421
Half Precision Score
3859
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | AdrienRL |
| Upload Date | August 16 2024 03:39 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1258
233.9 IPS |
|
|
Image Classification (HP)
|
100% |
1921
357.3 IPS |
|
|
Image Classification (Q)
|
99% |
1901
354.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1122
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1742
28.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
1735
28.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4914
5.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
9797
11.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
8749
10.3 IPS |
|
|
Object Detection (SP)
|
100% |
1267
100.5 IPS |
|
|
Object Detection (HP)
|
97% |
2153
171.4 IPS |
|
|
Object Detection (Q)
|
94% |
1540
122.7 IPS |
|
|
Face Detection (SP)
|
100% |
2403
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
4497
53.4 IPS |
|
|
Face Detection (Q)
|
100% |
2524
30.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4556
35.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
8981
69.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
8861
68.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12238
15.7 IPS |
|
|
Style Transfer (HP)
|
100% |
20222
26.0 IPS |
|
|
Style Transfer (Q)
|
100% |
20360
26.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2628
97.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3899
144.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2899
107.4 IPS |
|
|
Text Classification (SP)
|
100% |
2125
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
3665
4.89 KIPS |
|
|
Text Classification (Q)
|
93% |
3596
4.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
2279
39.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3463
59.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3480
60.1 IPS |
