iPhone 14 Pro
Geekbench AI Score
3487
Single Precision Score
6202
Half Precision Score
5045
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | y561994 |
| Upload Date | July 06 2025 10:34 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1366
254.1 IPS |
|
|
Image Classification (HP)
|
100% |
2616
486.5 IPS |
|
|
Image Classification (Q)
|
96% |
1804
336.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1429
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2165
35.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2663
43.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6444
7.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
14853
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12661
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1556
123.4 IPS |
|
|
Object Detection (HP)
|
97% |
2891
230.2 IPS |
|
|
Object Detection (Q)
|
94% |
2074
165.3 IPS |
|
|
Face Detection (SP)
|
100% |
3057
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
5786
68.8 IPS |
|
|
Face Detection (Q)
|
100% |
3425
40.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5830
44.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11487
88.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7985
62.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17788
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
29087
37.4 IPS |
|
|
Style Transfer (Q)
|
96% |
23908
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3998
147.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5301
195.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3866
142.7 IPS |
|
|
Text Classification (SP)
|
100% |
2910
3.88 KIPS |
|
|
Text Classification (HP)
|
99% |
4853
6.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4814
6.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3688
63.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6968
120.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6958
120.2 IPS |
