iPhone 14 Pro
Geekbench AI Score
3557
Single Precision Score
6155
Half Precision Score
4975
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | analsharif |
| Upload Date | April 10 2026 04:06 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1434
266.8 IPS |
|
|
Image Classification (HP)
|
100% |
2539
472.2 IPS |
|
|
Image Classification (Q)
|
96% |
1755
327.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1481
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2238
36.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2700
43.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6694
7.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
14977
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12780
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1576
125.0 IPS |
|
|
Object Detection (HP)
|
97% |
2942
234.2 IPS |
|
|
Object Detection (Q)
|
94% |
2074
165.3 IPS |
|
|
Face Detection (SP)
|
100% |
3138
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
6117
72.7 IPS |
|
|
Face Detection (Q)
|
100% |
3507
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6113
47.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12189
94.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8235
64.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18644
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28908
37.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23897
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4275
157.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5060
186.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3733
137.8 IPS |
|
|
Text Classification (SP)
|
100% |
2690
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4879
6.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4794
6.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3522
60.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5860
101.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5998
103.7 IPS |
