iPhone 12 Pro
Geekbench AI Score
2729
Single Precision Score
12546
Half Precision Score
12609
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 14 2025 02:41 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1317
244.9 IPS |
|
|
Image Classification (HP)
|
100% |
4876
906.7 IPS |
|
|
Image Classification (Q)
|
96% |
5029
939.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1203
19.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8257
133.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8662
140.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5169
6.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
60127
70.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
61203
71.7 IPS |
|
|
Object Detection (SP)
|
100% |
1304
103.5 IPS |
|
|
Object Detection (HP)
|
99% |
5961
474.2 IPS |
|
|
Object Detection (Q)
|
91% |
5443
434.9 IPS |
|
|
Face Detection (SP)
|
100% |
2516
29.9 IPS |
|
|
Face Detection (HP)
|
100% |
12035
143.0 IPS |
|
|
Face Detection (Q)
|
100% |
9913
117.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4706
36.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
35422
272.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
36295
283.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12713
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
97671
125.6 IPS |
|
|
Style Transfer (Q)
|
96% |
97973
126.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2715
100.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19730
728.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20656
762.7 IPS |
|
|
Text Classification (SP)
|
100% |
2249
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
2287
3.05 KIPS |
|
|
Text Classification (Q)
|
93% |
2333
3.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
2336
40.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3564
61.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4124
71.3 IPS |
