iPhone 12 Pro
Geekbench AI Score
2485
Single Precision Score
4269
Half Precision Score
3575
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | evodomgeek |
| Upload Date | February 23 2025 02:30 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
1239
230.5 IPS |
|
|
Image Classification (HP)
|
100% |
1919
356.8 IPS |
|
|
Image Classification (Q)
|
96% |
1371
255.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1078
17.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1741
28.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2149
34.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4512
5.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
8500
9.92 IPS |
|
|
Pose Estimation (Q)
|
95% |
7979
9.35 IPS |
|
|
Object Detection (SP)
|
100% |
1231
97.6 IPS |
|
|
Object Detection (HP)
|
97% |
2137
170.1 IPS |
|
|
Object Detection (Q)
|
94% |
1534
122.2 IPS |
|
|
Face Detection (SP)
|
100% |
2380
28.3 IPS |
|
|
Face Detection (HP)
|
100% |
4421
52.5 IPS |
|
|
Face Detection (Q)
|
100% |
2522
30.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4275
32.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
8575
66.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
6124
47.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11037
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
19434
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
16778
21.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2359
87.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3745
138.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2796
103.2 IPS |
|
|
Text Classification (SP)
|
100% |
2110
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
3590
4.79 KIPS |
|
|
Text Classification (Q)
|
93% |
3654
4.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
2172
37.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3345
57.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3574
61.8 IPS |
