iPhone 14 Pro
Geekbench AI Score
3575
Single Precision Score
6190
Half Precision Score
4973
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 07:29 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1441
268.1 IPS |
|
|
Image Classification (HP)
|
100% |
2567
477.4 IPS |
|
|
Image Classification (Q)
|
96% |
1762
329.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1495
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2252
36.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2669
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6653
7.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
15085
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12832
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1567
124.3 IPS |
|
|
Object Detection (HP)
|
97% |
2943
234.3 IPS |
|
|
Object Detection (Q)
|
94% |
2090
166.6 IPS |
|
|
Face Detection (SP)
|
100% |
3165
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
6135
72.9 IPS |
|
|
Face Detection (Q)
|
100% |
3516
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6191
47.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12327
95.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8312
65.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19031
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29234
37.6 IPS |
|
|
Style Transfer (Q)
|
96% |
24117
31.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4246
156.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5167
190.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3754
138.6 IPS |
|
|
Text Classification (SP)
|
100% |
2664
3.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4725
6.31 KIPS |
|
|
Text Classification (Q)
|
93% |
4699
6.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3602
62.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5962
103.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5906
102.1 IPS |
