iPhone 14 Pro
Geekbench AI Score
4169
Single Precision Score
4407
Half Precision Score
4287
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 23 2025 04:45 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1602
297.9 IPS |
|
|
Image Classification (HP)
|
100% |
1177
219.0 IPS |
|
|
Image Classification (Q)
|
96% |
1674
312.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2840
46.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2969
48.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2807
45.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11764
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12485
14.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
11966
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1976
156.7 IPS |
|
|
Object Detection (HP)
|
100% |
1951
154.8 IPS |
|
|
Object Detection (Q)
|
92% |
1782
142.3 IPS |
|
|
Face Detection (SP)
|
100% |
5439
64.6 IPS |
|
|
Face Detection (HP)
|
100% |
6102
72.5 IPS |
|
|
Face Detection (Q)
|
100% |
5047
60.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8690
66.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
8978
69.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8341
65.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21325
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
23880
30.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23019
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4998
184.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4973
183.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4266
157.5 IPS |
|
|
Text Classification (SP)
|
100% |
2707
3.61 KIPS |
|
|
Text Classification (HP)
|
100% |
4871
6.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4786
6.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1101
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1026
17.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1060
18.3 IPS |
