iPhone 14 Pro
Geekbench AI Score
3554
Single Precision Score
6113
Half Precision Score
4950
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 20 2024 04:48 PM |
| Views | 1 |
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% |
1415
263.2 IPS |
|
|
Image Classification (HP)
|
100% |
2535
471.5 IPS |
|
|
Image Classification (Q)
|
96% |
1733
323.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1450
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2163
35.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2690
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6795
7.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
15109
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12976
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1574
124.9 IPS |
|
|
Object Detection (HP)
|
97% |
2917
232.2 IPS |
|
|
Object Detection (Q)
|
94% |
2057
164.0 IPS |
|
|
Face Detection (SP)
|
100% |
3096
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
6077
72.2 IPS |
|
|
Face Detection (Q)
|
100% |
3485
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6200
47.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12329
95.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8316
65.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19002
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
28342
36.4 IPS |
|
|
Style Transfer (Q)
|
96% |
23997
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4258
157.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5098
188.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3729
137.7 IPS |
|
|
Text Classification (SP)
|
100% |
2664
3.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4727
6.31 KIPS |
|
|
Text Classification (Q)
|
93% |
4672
6.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3545
61.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5901
102.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5860
101.3 IPS |
