iPhone 12 Pro
Geekbench AI Score
2633
Single Precision Score
12734
Half Precision Score
12385
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 03 2025 10:36 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1226
228.0 IPS |
|
|
Image Classification (HP)
|
100% |
4931
917.0 IPS |
|
|
Image Classification (Q)
|
96% |
4959
926.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1124
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7862
127.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
8000
129.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4706
5.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
60069
70.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
60622
71.1 IPS |
|
|
Object Detection (SP)
|
100% |
1203
95.4 IPS |
|
|
Object Detection (HP)
|
99% |
6041
480.5 IPS |
|
|
Object Detection (Q)
|
91% |
5383
430.1 IPS |
|
|
Face Detection (SP)
|
100% |
2511
29.8 IPS |
|
|
Face Detection (HP)
|
100% |
11461
136.2 IPS |
|
|
Face Detection (Q)
|
100% |
10092
119.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4607
35.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
37863
291.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
34934
273.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12646
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
98843
127.1 IPS |
|
|
Style Transfer (Q)
|
96% |
97352
125.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2698
99.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21655
799.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19751
729.3 IPS |
|
|
Text Classification (SP)
|
100% |
2318
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
2304
3.08 KIPS |
|
|
Text Classification (Q)
|
93% |
2369
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2247
38.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3726
64.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4087
70.6 IPS |
