iPhone 14 Pro
Geekbench AI Score
3571
Single Precision Score
6104
Half Precision Score
4947
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 04:46 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1446
269.0 IPS |
|
|
Image Classification (HP)
|
100% |
2525
469.6 IPS |
|
|
Image Classification (Q)
|
96% |
1740
324.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1447
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2167
35.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2684
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7057
8.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
15283
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13043
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1597
126.7 IPS |
|
|
Object Detection (HP)
|
97% |
2926
233.0 IPS |
|
|
Object Detection (Q)
|
94% |
2063
164.5 IPS |
|
|
Face Detection (SP)
|
100% |
3162
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
6132
72.9 IPS |
|
|
Face Detection (Q)
|
100% |
3513
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6291
48.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12231
94.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8240
64.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18833
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
29072
37.4 IPS |
|
|
Style Transfer (Q)
|
96% |
23716
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4208
155.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4972
183.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3696
136.5 IPS |
|
|
Text Classification (SP)
|
100% |
2619
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4587
6.12 KIPS |
|
|
Text Classification (Q)
|
93% |
4697
6.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3468
59.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5907
102.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5863
101.3 IPS |
