iPhone 12 Pro
Geekbench AI Score
1389
Single Precision Score
7702
Half Precision Score
7745
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 14 2025 03:06 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
578
107.6 IPS |
|
|
Image Classification (HP)
|
100% |
2709
503.7 IPS |
|
|
Image Classification (Q)
|
96% |
2770
517.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
650
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4383
71.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4688
76.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2747
3.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
33165
38.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
33046
38.7 IPS |
|
|
Object Detection (SP)
|
100% |
587
46.5 IPS |
|
|
Object Detection (HP)
|
99% |
3236
257.4 IPS |
|
|
Object Detection (Q)
|
91% |
2963
236.7 IPS |
|
|
Face Detection (SP)
|
100% |
1381
16.4 IPS |
|
|
Face Detection (HP)
|
100% |
6265
74.4 IPS |
|
|
Face Detection (Q)
|
100% |
6112
72.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2191
16.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
22147
170.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
21865
170.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7102
9.13 IPS |
|
|
Style Transfer (HP)
|
100% |
59436
76.4 IPS |
|
|
Style Transfer (Q)
|
96% |
58212
75.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1576
58.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11918
440.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12138
448.2 IPS |
|
|
Text Classification (SP)
|
100% |
1046
1.40 KIPS |
|
|
Text Classification (HP)
|
100% |
1848
2.47 KIPS |
|
|
Text Classification (Q)
|
93% |
1931
2.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1249
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3175
54.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3353
57.9 IPS |
