iPhone 14 Pro
Geekbench AI Score
3542
Single Precision Score
6205
Half Precision Score
5049
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | robertdb3 |
| Upload Date | May 25 2025 05:17 AM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1368
254.4 IPS |
|
|
Image Classification (HP)
|
100% |
2563
476.6 IPS |
|
|
Image Classification (Q)
|
96% |
1751
327.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1422
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2136
34.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2637
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7085
8.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
15550
18.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13268
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1583
125.6 IPS |
|
|
Object Detection (HP)
|
97% |
2899
230.8 IPS |
|
|
Object Detection (Q)
|
94% |
2061
164.3 IPS |
|
|
Face Detection (SP)
|
100% |
3046
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
6013
71.4 IPS |
|
|
Face Detection (Q)
|
100% |
3461
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6126
47.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11703
90.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8064
63.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19157
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
29751
38.2 IPS |
|
|
Style Transfer (Q)
|
96% |
24559
31.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4123
152.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5128
189.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3879
143.2 IPS |
|
|
Text Classification (SP)
|
100% |
2683
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4782
6.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4766
6.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3608
62.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6685
115.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6741
116.5 IPS |
