iPhone 14 Pro
Geekbench AI Score
4191
Single Precision Score
4706
Half Precision Score
4453
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | y561994 |
| Upload Date | July 06 2025 10:46 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1570
292.0 IPS |
|
|
Image Classification (HP)
|
100% |
1813
337.1 IPS |
|
|
Image Classification (Q)
|
96% |
1692
315.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2887
46.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2923
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2798
45.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11840
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12860
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12460
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1916
152.0 IPS |
|
|
Object Detection (HP)
|
100% |
1973
156.5 IPS |
|
|
Object Detection (Q)
|
92% |
1858
148.3 IPS |
|
|
Face Detection (SP)
|
100% |
5434
64.6 IPS |
|
|
Face Detection (HP)
|
100% |
6211
73.8 IPS |
|
|
Face Detection (Q)
|
100% |
5299
63.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8449
65.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
9268
71.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
8621
67.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21304
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
24187
31.1 IPS |
|
|
Style Transfer (Q)
|
96% |
23654
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4947
182.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5149
190.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4563
168.5 IPS |
|
|
Text Classification (SP)
|
100% |
2913
3.89 KIPS |
|
|
Text Classification (HP)
|
99% |
4792
6.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4753
6.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1155
19.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1154
19.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1195
20.6 IPS |
