iPhone 12 Pro
Geekbench AI Score
2612
Single Precision Score
13842
Half Precision Score
13822
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | sinanthonyxd |
| Upload Date | March 06 2025 04:19 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1140
212.0 IPS |
|
|
Image Classification (HP)
|
100% |
5048
938.8 IPS |
|
|
Image Classification (Q)
|
96% |
5185
968.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1057
17.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8485
137.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7807
126.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4596
5.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
61164
71.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
62958
73.8 IPS |
|
|
Object Detection (SP)
|
100% |
1241
98.4 IPS |
|
|
Object Detection (HP)
|
99% |
6483
515.7 IPS |
|
|
Object Detection (Q)
|
91% |
5904
471.8 IPS |
|
|
Face Detection (SP)
|
100% |
2502
29.7 IPS |
|
|
Face Detection (HP)
|
100% |
15250
181.2 IPS |
|
|
Face Detection (Q)
|
100% |
12833
152.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4616
35.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
39616
305.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
42447
331.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12922
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
109172
140.3 IPS |
|
|
Style Transfer (Q)
|
96% |
109106
140.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2841
104.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20360
751.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21776
804.1 IPS |
|
|
Text Classification (SP)
|
100% |
2154
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
2312
3.09 KIPS |
|
|
Text Classification (Q)
|
93% |
2405
3.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2356
40.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4900
84.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5435
93.9 IPS |
