iPhone 14 Pro
Geekbench AI Score
3472
Single Precision Score
6130
Half Precision Score
4993
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 10 2025 02:38 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1429
265.8 IPS |
|
|
Image Classification (HP)
|
100% |
2550
474.3 IPS |
|
|
Image Classification (Q)
|
96% |
1751
327.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1417
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2104
34.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2626
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6423
7.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
14813
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12605
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1567
124.3 IPS |
|
|
Object Detection (HP)
|
97% |
2903
231.1 IPS |
|
|
Object Detection (Q)
|
94% |
2058
164.0 IPS |
|
|
Face Detection (SP)
|
100% |
3152
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
5956
70.8 IPS |
|
|
Face Detection (Q)
|
100% |
3415
40.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5905
45.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11438
88.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7922
61.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17934
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
29159
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24135
31.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3945
145.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5119
189.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3877
143.1 IPS |
|
|
Text Classification (SP)
|
100% |
2695
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
4802
6.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4840
6.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3529
60.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6655
115.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6602
114.1 IPS |
