iPhone 14 Pro
Geekbench AI Score
3555
Single Precision Score
6100
Half Precision Score
4944
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | givemefckingmacbook |
| Upload Date | October 13 2024 03:58 PM |
| 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% |
1415
263.1 IPS |
|
|
Image Classification (HP)
|
100% |
2521
468.8 IPS |
|
|
Image Classification (Q)
|
96% |
1753
327.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1463
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2177
35.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2686
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7007
8.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
15130
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12970
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1585
125.7 IPS |
|
|
Object Detection (HP)
|
97% |
2928
233.1 IPS |
|
|
Object Detection (Q)
|
94% |
2057
164.0 IPS |
|
|
Face Detection (SP)
|
100% |
3056
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
6125
72.8 IPS |
|
|
Face Detection (Q)
|
100% |
3502
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6223
47.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12229
94.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8272
64.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18989
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
28364
36.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23764
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4218
155.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4975
183.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3691
136.3 IPS |
|
|
Text Classification (SP)
|
100% |
2627
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4746
6.33 KIPS |
|
|
Text Classification (Q)
|
93% |
4658
6.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3512
60.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5854
101.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5871
101.5 IPS |
