iPhone 14 Pro
Geekbench AI Score
3962
Single Precision Score
4328
Half Precision Score
3799
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | metadex |
| Upload Date | January 24 2025 08:18 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| Model | iPhone 14 Pro |
| Model ID | iPhone15,2 |
| Motherboard | D73AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1694
315.0 IPS |
|
|
Image Classification (HP)
|
100% |
1507
280.2 IPS |
|
|
Image Classification (Q)
|
97% |
1439
268.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2347
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2517
40.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2492
40.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12110
14.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12837
15.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11707
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1929
153.0 IPS |
|
|
Object Detection (HP)
|
100% |
1922
152.5 IPS |
|
|
Object Detection (Q)
|
91% |
1604
128.1 IPS |
|
|
Face Detection (SP)
|
100% |
5290
62.9 IPS |
|
|
Face Detection (HP)
|
100% |
6128
72.8 IPS |
|
|
Face Detection (Q)
|
100% |
4054
48.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8583
66.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
9147
70.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7364
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20986
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23644
30.4 IPS |
|
|
Style Transfer (Q)
|
96% |
22101
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5171
191.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5097
188.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4078
150.6 IPS |
|
|
Text Classification (SP)
|
100% |
2667
3.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4613
6.16 KIPS |
|
|
Text Classification (Q)
|
93% |
4627
6.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
781
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
791
13.6 IPS |
|
|
Machine Translation (Q)
|
98% |
747
12.9 IPS |
