iPhone 12 Pro
Geekbench AI Score
2654
Single Precision Score
4574
Half Precision Score
3786
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 14 2025 08:52 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1269
236.0 IPS |
|
|
Image Classification (HP)
|
100% |
1948
362.3 IPS |
|
|
Image Classification (Q)
|
96% |
1377
257.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1135
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1760
28.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2148
34.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5138
6.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
10308
12.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
9249
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
1260
100.0 IPS |
|
|
Object Detection (HP)
|
97% |
2170
172.8 IPS |
|
|
Object Detection (Q)
|
94% |
1588
126.5 IPS |
|
|
Face Detection (SP)
|
100% |
2473
29.4 IPS |
|
|
Face Detection (HP)
|
100% |
4640
55.1 IPS |
|
|
Face Detection (Q)
|
100% |
2619
31.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4596
35.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
8808
68.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
6331
49.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12708
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
21492
27.6 IPS |
|
|
Style Transfer (Q)
|
96% |
18346
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2660
98.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4097
151.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3118
115.1 IPS |
|
|
Text Classification (SP)
|
100% |
2114
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
3577
4.77 KIPS |
|
|
Text Classification (Q)
|
93% |
3590
4.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
2298
39.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4064
70.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4098
70.8 IPS |
