iPhone 14 Pro
Geekbench AI Score
4212
Single Precision Score
4630
Half Precision Score
4339
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | agurenko |
| Upload Date | August 18 2025 08:27 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.1 |
| 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% |
1711
318.1 IPS |
|
|
Image Classification (HP)
|
100% |
1630
303.2 IPS |
|
|
Image Classification (Q)
|
96% |
1697
317.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2884
46.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2899
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2786
45.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11757
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12817
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12531
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1982
157.2 IPS |
|
|
Object Detection (HP)
|
100% |
1927
152.9 IPS |
|
|
Object Detection (Q)
|
92% |
1761
140.6 IPS |
|
|
Face Detection (SP)
|
100% |
5558
66.0 IPS |
|
|
Face Detection (HP)
|
100% |
6200
73.7 IPS |
|
|
Face Detection (Q)
|
100% |
5061
60.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8590
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
9133
70.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
8475
66.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21347
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
24251
31.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23579
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4852
179.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5024
185.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4384
161.9 IPS |
|
|
Text Classification (SP)
|
100% |
2729
3.64 KIPS |
|
|
Text Classification (HP)
|
100% |
4891
6.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4771
6.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1135
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1150
19.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1072
18.5 IPS |
