iPhone 12 Pro
Geekbench AI Score
2517
Single Precision Score
12950
Half Precision Score
13048
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | crypt3r |
| Upload Date | November 07 2025 10:31 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1211
225.2 IPS |
|
|
Image Classification (HP)
|
100% |
4946
919.8 IPS |
|
|
Image Classification (Q)
|
96% |
5109
954.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1094
17.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8125
131.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
8620
139.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4585
5.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
63170
73.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
61558
72.1 IPS |
|
|
Object Detection (SP)
|
100% |
1130
89.6 IPS |
|
|
Object Detection (HP)
|
99% |
5910
470.1 IPS |
|
|
Object Detection (Q)
|
91% |
5490
438.7 IPS |
|
|
Face Detection (SP)
|
100% |
2302
27.4 IPS |
|
|
Face Detection (HP)
|
100% |
12323
146.4 IPS |
|
|
Face Detection (Q)
|
100% |
10515
124.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4344
33.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
36883
284.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
40011
312.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11935
15.3 IPS |
|
|
Style Transfer (HP)
|
100% |
104672
134.6 IPS |
|
|
Style Transfer (Q)
|
96% |
102269
132.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2454
90.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20298
749.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21141
780.6 IPS |
|
|
Text Classification (SP)
|
100% |
2302
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
2468
3.29 KIPS |
|
|
Text Classification (Q)
|
93% |
2472
3.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2207
38.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3710
63.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4277
73.9 IPS |
