iPhone 14 Pro
Geekbench AI Score
4191
Single Precision Score
4659
Half Precision Score
4355
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | iPhil |
| Upload Date | March 22 2025 02:13 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1784
331.8 IPS |
|
|
Image Classification (HP)
|
100% |
1640
304.9 IPS |
|
|
Image Classification (Q)
|
96% |
1739
324.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2852
46.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2980
48.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2852
46.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11849
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12450
14.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
12277
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
2094
166.1 IPS |
|
|
Object Detection (HP)
|
100% |
1998
158.5 IPS |
|
|
Object Detection (Q)
|
92% |
1825
145.7 IPS |
|
|
Face Detection (SP)
|
100% |
5454
64.8 IPS |
|
|
Face Detection (HP)
|
100% |
6265
74.4 IPS |
|
|
Face Detection (Q)
|
100% |
5100
60.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8769
67.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9152
70.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8383
65.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21309
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
23774
30.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23447
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5048
186.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5212
192.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4492
165.9 IPS |
|
|
Text Classification (SP)
|
100% |
2708
3.61 KIPS |
|
|
Text Classification (HP)
|
100% |
4835
6.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4815
6.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
951
16.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1154
19.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1020
17.6 IPS |
