iPhone 12 Pro
Geekbench AI Score
2744
Single Precision Score
12947
Half Precision Score
13161
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | MrDaniel |
| Upload Date | December 16 2025 05:40 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.2 |
| 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% |
1281
238.2 IPS |
|
|
Image Classification (HP)
|
100% |
4260
792.3 IPS |
|
|
Image Classification (Q)
|
96% |
4608
860.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1137
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8671
140.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9115
147.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5335
6.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
61226
71.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
61562
72.2 IPS |
|
|
Object Detection (SP)
|
100% |
1302
103.2 IPS |
|
|
Object Detection (HP)
|
99% |
5774
459.3 IPS |
|
|
Object Detection (Q)
|
91% |
4974
397.4 IPS |
|
|
Face Detection (SP)
|
100% |
2564
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
13894
165.1 IPS |
|
|
Face Detection (Q)
|
100% |
12687
150.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4854
37.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
39059
300.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
37947
296.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13503
17.4 IPS |
|
|
Style Transfer (HP)
|
100% |
96219
123.7 IPS |
|
|
Style Transfer (Q)
|
96% |
99434
128.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2886
106.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18954
699.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19285
712.1 IPS |
|
|
Text Classification (SP)
|
100% |
2138
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
2291
3.06 KIPS |
|
|
Text Classification (Q)
|
93% |
2369
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2312
39.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4473
77.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5546
95.9 IPS |
