iPhone 14 Pro
Geekbench AI Score
3506
Single Precision Score
6190
Half Precision Score
5047
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | y561994 |
| Upload Date | July 06 2025 10:37 AM |
| Views | 7 |
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% |
1408
261.8 IPS |
|
|
Image Classification (HP)
|
100% |
2626
488.3 IPS |
|
|
Image Classification (Q)
|
96% |
1812
338.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1429
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2138
34.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2663
43.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6467
7.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
14755
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12655
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1547
122.7 IPS |
|
|
Object Detection (HP)
|
97% |
2889
230.0 IPS |
|
|
Object Detection (Q)
|
94% |
2072
165.2 IPS |
|
|
Face Detection (SP)
|
100% |
3046
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
5997
71.3 IPS |
|
|
Face Detection (Q)
|
100% |
3430
40.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5884
45.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11490
88.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7978
62.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18255
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29205
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24027
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4017
148.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5233
193.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3905
144.2 IPS |
|
|
Text Classification (SP)
|
100% |
2924
3.90 KIPS |
|
|
Text Classification (HP)
|
99% |
4785
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4790
6.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3630
62.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6854
118.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6896
119.2 IPS |
