iPhone 14 Pro
Geekbench AI Score
3554
Single Precision Score
6106
Half Precision Score
4951
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 13 2024 09:59 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% |
1426
265.2 IPS |
|
|
Image Classification (HP)
|
100% |
2506
466.0 IPS |
|
|
Image Classification (Q)
|
96% |
1749
326.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1437
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2159
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2687
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7066
8.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
15307
17.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13118
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1594
126.4 IPS |
|
|
Object Detection (HP)
|
97% |
2923
232.7 IPS |
|
|
Object Detection (Q)
|
94% |
2051
163.5 IPS |
|
|
Face Detection (SP)
|
100% |
3100
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
6134
72.9 IPS |
|
|
Face Detection (Q)
|
100% |
3505
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6174
47.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12164
94.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8240
64.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18970
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
28246
36.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23719
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4196
154.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5123
189.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3722
137.4 IPS |
|
|
Text Classification (SP)
|
100% |
2625
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4676
6.24 KIPS |
|
|
Text Classification (Q)
|
93% |
4674
6.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3485
60.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5895
101.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5875
101.5 IPS |
