iPhone 14 Pro
Geekbench AI Score
3550
Single Precision Score
6059
Half Precision Score
4918
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 02 2025 06:04 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1436
267.0 IPS |
|
|
Image Classification (HP)
|
100% |
2502
465.3 IPS |
|
|
Image Classification (Q)
|
96% |
1731
323.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1438
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2163
35.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2687
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6966
8.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
15125
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12961
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1584
125.6 IPS |
|
|
Object Detection (HP)
|
97% |
2931
233.3 IPS |
|
|
Object Detection (Q)
|
94% |
2052
163.6 IPS |
|
|
Face Detection (SP)
|
100% |
3127
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
6102
72.5 IPS |
|
|
Face Detection (Q)
|
100% |
3501
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6241
48.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12159
94.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8230
64.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18877
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28481
36.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23612
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4187
154.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4847
179.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3682
136.0 IPS |
|
|
Text Classification (SP)
|
100% |
2627
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4583
6.12 KIPS |
|
|
Text Classification (Q)
|
93% |
4581
6.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3452
59.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5928
102.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5834
100.8 IPS |
