iPhone 14 Pro
Geekbench AI Score
3238
Single Precision Score
4928
Half Precision Score
4070
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | barcellos |
| Upload Date | August 17 2024 01:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1454
270.3 IPS |
|
|
Image Classification (HP)
|
100% |
1910
355.2 IPS |
|
|
Image Classification (Q)
|
99% |
1903
354.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1248
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1217
19.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
1225
19.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6348
7.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
14502
16.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12313
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1562
123.9 IPS |
|
|
Object Detection (HP)
|
97% |
2289
182.2 IPS |
|
|
Object Detection (Q)
|
94% |
1751
139.6 IPS |
|
|
Face Detection (SP)
|
100% |
2782
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
4514
53.6 IPS |
|
|
Face Detection (Q)
|
100% |
2889
34.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5459
42.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8690
67.1 IPS |
|
|
Depth Estimation (Q)
|
96% |
4407
34.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17469
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26894
34.6 IPS |
|
|
Style Transfer (Q)
|
100% |
27003
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3812
140.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5193
191.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3704
137.2 IPS |
|
|
Text Classification (SP)
|
100% |
2594
3.46 KIPS |
|
|
Text Classification (HP)
|
100% |
4392
5.86 KIPS |
|
|
Text Classification (Q)
|
93% |
4339
5.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
2691
46.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4556
78.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4501
77.8 IPS |
