iPhone 12 Pro
Geekbench AI Score
1823
Single Precision Score
3164
Half Precision Score
2619
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 02 2025 11:44 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
864
160.7 IPS |
|
|
Image Classification (HP)
|
100% |
1642
305.4 IPS |
|
|
Image Classification (Q)
|
96% |
1103
206.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
816
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1219
19.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1527
24.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3384
3.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
7189
8.39 IPS |
|
|
Pose Estimation (Q)
|
95% |
6263
7.34 IPS |
|
|
Object Detection (SP)
|
100% |
842
66.8 IPS |
|
|
Object Detection (HP)
|
97% |
1409
112.2 IPS |
|
|
Object Detection (Q)
|
94% |
1093
87.1 IPS |
|
|
Face Detection (SP)
|
100% |
1830
21.7 IPS |
|
|
Face Detection (HP)
|
100% |
3254
38.7 IPS |
|
|
Face Detection (Q)
|
100% |
1804
21.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2846
21.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
5541
42.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
3969
31.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9053
11.6 IPS |
|
|
Style Transfer (HP)
|
100% |
14211
18.3 IPS |
|
|
Style Transfer (Q)
|
96% |
11710
15.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2187
80.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2346
86.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1776
65.6 IPS |
|
|
Text Classification (SP)
|
100% |
1295
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
3536
4.72 KIPS |
|
|
Text Classification (Q)
|
93% |
3566
4.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1518
26.1 IPS |
|
|
Machine Translation (HP)
|
98% |
2334
40.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2481
42.9 IPS |
