iPhone 12 Pro
Geekbench AI Score
2702
Single Precision Score
12952
Half Precision Score
12623
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 17 2024 06:37 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1247
231.8 IPS |
|
|
Image Classification (HP)
|
100% |
4563
848.5 IPS |
|
|
Image Classification (Q)
|
96% |
4733
883.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1139
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8513
138.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
8870
143.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5131
5.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
62174
72.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
61485
72.1 IPS |
|
|
Object Detection (SP)
|
100% |
1302
103.3 IPS |
|
|
Object Detection (HP)
|
99% |
6013
478.3 IPS |
|
|
Object Detection (Q)
|
91% |
4799
383.4 IPS |
|
|
Face Detection (SP)
|
100% |
2556
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
14430
171.5 IPS |
|
|
Face Detection (Q)
|
100% |
12210
145.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4803
37.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
37553
289.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
35424
276.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13122
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
100950
129.8 IPS |
|
|
Style Transfer (Q)
|
96% |
97832
126.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2823
104.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19928
735.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19805
731.3 IPS |
|
|
Text Classification (SP)
|
100% |
2119
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
2353
3.14 KIPS |
|
|
Text Classification (Q)
|
93% |
2349
3.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2269
39.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3568
61.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4213
72.8 IPS |
