iPhone 14 Pro
Geekbench AI Score
3479
Single Precision Score
6179
Half Precision Score
5020
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | y561994 |
| Upload Date | July 06 2025 10:43 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1404
261.1 IPS |
|
|
Image Classification (HP)
|
100% |
2625
488.1 IPS |
|
|
Image Classification (Q)
|
96% |
1804
336.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1419
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2121
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2647
42.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6305
7.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
14580
17.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12437
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1542
122.3 IPS |
|
|
Object Detection (HP)
|
97% |
2888
229.9 IPS |
|
|
Object Detection (Q)
|
94% |
2056
163.9 IPS |
|
|
Face Detection (SP)
|
100% |
3025
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
5966
70.9 IPS |
|
|
Face Detection (Q)
|
100% |
3382
40.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5788
44.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11462
88.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7956
62.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17532
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
28986
37.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23976
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4114
151.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5201
192.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3899
144.0 IPS |
|
|
Text Classification (SP)
|
100% |
2903
3.87 KIPS |
|
|
Text Classification (HP)
|
99% |
4858
6.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4785
6.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3664
63.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6919
119.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6924
119.6 IPS |
