iPhone 12 Pro
Geekbench AI Score
2775
Single Precision Score
12653
Half Precision Score
12331
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | AdrienRL |
| Upload Date | November 09 2025 04:38 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1217
226.3 IPS |
|
|
Image Classification (HP)
|
100% |
4604
856.1 IPS |
|
|
Image Classification (Q)
|
96% |
4912
917.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1122
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8018
130.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
8198
132.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5438
6.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
59305
69.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
59589
69.8 IPS |
|
|
Object Detection (SP)
|
100% |
1247
98.9 IPS |
|
|
Object Detection (HP)
|
99% |
6031
479.8 IPS |
|
|
Object Detection (Q)
|
91% |
5596
447.1 IPS |
|
|
Face Detection (SP)
|
100% |
2568
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
11584
137.6 IPS |
|
|
Face Detection (Q)
|
100% |
9859
117.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4927
38.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
37850
291.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
37105
290.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14538
18.7 IPS |
|
|
Style Transfer (HP)
|
100% |
100796
129.6 IPS |
|
|
Style Transfer (Q)
|
96% |
92077
118.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3063
113.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19305
712.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18867
696.7 IPS |
|
|
Text Classification (SP)
|
100% |
2316
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
2379
3.18 KIPS |
|
|
Text Classification (Q)
|
93% |
2369
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2247
38.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3925
67.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4022
69.5 IPS |
