iPhone 12 Pro
Geekbench AI Score
2781
Single Precision Score
12584
Half Precision Score
12067
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 15 2025 10:41 AM |
| Views | 1 |
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% |
1273
236.8 IPS |
|
|
Image Classification (HP)
|
100% |
4682
870.6 IPS |
|
|
Image Classification (Q)
|
96% |
3929
733.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1165
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8391
136.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
8579
139.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5215
6.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
61253
71.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
61592
72.2 IPS |
|
|
Object Detection (SP)
|
100% |
1341
106.3 IPS |
|
|
Object Detection (HP)
|
99% |
5514
438.6 IPS |
|
|
Object Detection (Q)
|
91% |
4633
370.2 IPS |
|
|
Face Detection (SP)
|
100% |
2584
30.7 IPS |
|
|
Face Detection (HP)
|
100% |
11450
136.0 IPS |
|
|
Face Detection (Q)
|
100% |
10304
122.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4812
37.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
38245
294.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
35780
279.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13740
17.7 IPS |
|
|
Style Transfer (HP)
|
100% |
93953
120.8 IPS |
|
|
Style Transfer (Q)
|
96% |
91607
118.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2944
108.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21144
780.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20158
744.3 IPS |
|
|
Text Classification (SP)
|
100% |
2258
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
2335
3.12 KIPS |
|
|
Text Classification (Q)
|
93% |
2430
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2356
40.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3697
63.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4116
71.1 IPS |
