iPhone 12 Pro
Geekbench AI Score
2668
Single Precision Score
4444
Half Precision Score
3706
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | sinanthonyxd |
| Upload Date | March 06 2025 04:26 AM |
| Views | 5 |
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% |
1255
233.4 IPS |
|
|
Image Classification (HP)
|
100% |
1915
356.1 IPS |
|
|
Image Classification (Q)
|
96% |
1364
254.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1133
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1758
28.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2166
35.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5172
6.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
10258
12.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
9191
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
1283
101.8 IPS |
|
|
Object Detection (HP)
|
97% |
2178
173.4 IPS |
|
|
Object Detection (Q)
|
94% |
1541
122.8 IPS |
|
|
Face Detection (SP)
|
100% |
2480
29.5 IPS |
|
|
Face Detection (HP)
|
100% |
4628
55.0 IPS |
|
|
Face Detection (Q)
|
100% |
2617
31.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4644
35.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
9298
71.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
6494
50.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12982
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
20825
26.8 IPS |
|
|
Style Transfer (Q)
|
96% |
18109
23.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2701
99.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3958
146.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2960
109.3 IPS |
|
|
Text Classification (SP)
|
100% |
2115
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
3583
4.78 KIPS |
|
|
Text Classification (Q)
|
93% |
3582
4.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2269
39.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3143
54.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3587
62.0 IPS |
