iPhone 14 Pro
Geekbench AI Score
3536
Single Precision Score
6097
Half Precision Score
4952
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | dieterthomas |
| Upload Date | January 13 2025 03:16 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
1431
266.2 IPS |
|
|
Image Classification (HP)
|
100% |
2527
469.9 IPS |
|
|
Image Classification (Q)
|
96% |
1764
329.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1446
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2198
35.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2689
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6810
7.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
14992
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12802
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1544
122.5 IPS |
|
|
Object Detection (HP)
|
97% |
2901
231.0 IPS |
|
|
Object Detection (Q)
|
94% |
2062
164.4 IPS |
|
|
Face Detection (SP)
|
100% |
3100
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
6130
72.8 IPS |
|
|
Face Detection (Q)
|
100% |
3499
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6145
47.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12232
94.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8270
64.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18770
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28558
36.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23953
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4262
157.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5079
187.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3712
137.1 IPS |
|
|
Text Classification (SP)
|
100% |
2658
3.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4607
6.15 KIPS |
|
|
Text Classification (Q)
|
93% |
4716
6.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3471
59.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5871
101.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5844
101.0 IPS |
