iPhone 12 Pro
Geekbench AI Score
2725
Single Precision Score
4557
Half Precision Score
3794
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 16 2025 06:49 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1236
229.9 IPS |
|
|
Image Classification (HP)
|
100% |
1921
357.2 IPS |
|
|
Image Classification (Q)
|
96% |
1366
255.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1145
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1779
28.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2198
35.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5440
6.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
10765
12.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
9483
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
1299
103.0 IPS |
|
|
Object Detection (HP)
|
97% |
2197
174.9 IPS |
|
|
Object Detection (Q)
|
94% |
1591
126.8 IPS |
|
|
Face Detection (SP)
|
100% |
2571
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
4763
56.6 IPS |
|
|
Face Detection (Q)
|
100% |
2730
32.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4841
37.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
9551
73.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
6615
51.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13284
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
21651
27.8 IPS |
|
|
Style Transfer (Q)
|
96% |
18770
24.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2829
104.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3972
146.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3001
110.8 IPS |
|
|
Text Classification (SP)
|
100% |
2122
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
3648
4.87 KIPS |
|
|
Text Classification (Q)
|
93% |
3568
4.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
2278
39.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3351
57.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3760
65.0 IPS |
