iPhone 14 Pro
Geekbench AI Score
4133
Single Precision Score
4530
Half Precision Score
4260
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 10 2025 03:00 AM |
| Views | 9 |
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% |
1691
314.4 IPS |
|
|
Image Classification (HP)
|
100% |
1546
287.6 IPS |
|
|
Image Classification (Q)
|
96% |
1688
315.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2871
46.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2890
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2843
46.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11745
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12426
14.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
11743
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1996
158.3 IPS |
|
|
Object Detection (HP)
|
100% |
1947
154.4 IPS |
|
|
Object Detection (Q)
|
92% |
1766
141.0 IPS |
|
|
Face Detection (SP)
|
100% |
5514
65.5 IPS |
|
|
Face Detection (HP)
|
100% |
6344
75.4 IPS |
|
|
Face Detection (Q)
|
100% |
5203
61.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8697
67.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9099
70.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8279
64.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21018
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23356
30.0 IPS |
|
|
Style Transfer (Q)
|
96% |
22833
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4577
169.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4672
172.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4183
154.5 IPS |
|
|
Text Classification (SP)
|
100% |
2684
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4811
6.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4775
6.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1034
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1113
19.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1007
17.4 IPS |
