iPhone 12 Pro
Geekbench AI Score
2514
Single Precision Score
4452
Half Precision Score
3726
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 10:45 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1196
222.3 IPS |
|
|
Image Classification (HP)
|
100% |
1931
359.2 IPS |
|
|
Image Classification (Q)
|
96% |
1402
261.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1072
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1630
26.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2096
34.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4641
5.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
9624
11.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
8703
10.2 IPS |
|
|
Object Detection (SP)
|
100% |
1091
86.5 IPS |
|
|
Object Detection (HP)
|
97% |
2109
167.9 IPS |
|
|
Object Detection (Q)
|
94% |
1524
121.5 IPS |
|
|
Face Detection (SP)
|
100% |
2400
28.5 IPS |
|
|
Face Detection (HP)
|
100% |
4450
52.9 IPS |
|
|
Face Detection (Q)
|
100% |
2537
30.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4314
33.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
8533
66.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
6118
47.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11998
15.4 IPS |
|
|
Style Transfer (HP)
|
100% |
20309
26.1 IPS |
|
|
Style Transfer (Q)
|
96% |
17533
22.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2545
94.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3912
144.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3060
113.0 IPS |
|
|
Text Classification (SP)
|
100% |
2225
2.97 KIPS |
|
|
Text Classification (HP)
|
99% |
3788
5.06 KIPS |
|
|
Text Classification (Q)
|
93% |
3818
5.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2215
38.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4191
72.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4167
72.0 IPS |
