iPhone 12 Pro
Geekbench AI Score
2328
Single Precision Score
3630
Half Precision Score
3025
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | real8star |
| Upload Date | August 22 2024 08:11 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1163
216.3 IPS |
|
|
Image Classification (HP)
|
100% |
1477
274.6 IPS |
|
|
Image Classification (Q)
|
99% |
1471
274.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
980
15.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1000
16.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
990
16.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4532
5.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
9870
11.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
8830
10.3 IPS |
|
|
Object Detection (SP)
|
100% |
1140
90.5 IPS |
|
|
Object Detection (HP)
|
97% |
1701
135.5 IPS |
|
|
Object Detection (Q)
|
94% |
1338
106.6 IPS |
|
|
Face Detection (SP)
|
100% |
1881
22.3 IPS |
|
|
Face Detection (HP)
|
100% |
3410
40.5 IPS |
|
|
Face Detection (Q)
|
100% |
2152
25.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4244
32.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
6900
53.3 IPS |
|
|
Depth Estimation (Q)
|
96% |
3476
26.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11972
15.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19761
25.4 IPS |
|
|
Style Transfer (Q)
|
100% |
19857
25.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2543
93.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3816
140.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2883
106.8 IPS |
|
|
Text Classification (SP)
|
100% |
2035
2.72 KIPS |
|
|
Text Classification (HP)
|
100% |
3342
4.46 KIPS |
|
|
Text Classification (Q)
|
93% |
3286
4.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1612
27.8 IPS |
|
|
Machine Translation (HP)
|
98% |
2705
46.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2650
45.8 IPS |
