iPhone 14 Pro
Geekbench AI Score
4103
Single Precision Score
4562
Half Precision Score
4310
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 13 2025 09:58 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1512
281.3 IPS |
|
|
Image Classification (HP)
|
100% |
1576
293.2 IPS |
|
|
Image Classification (Q)
|
96% |
1656
309.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2835
46.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2893
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2803
45.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11803
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12792
14.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12480
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1944
154.2 IPS |
|
|
Object Detection (HP)
|
100% |
1980
157.1 IPS |
|
|
Object Detection (Q)
|
92% |
1795
143.3 IPS |
|
|
Face Detection (SP)
|
100% |
5378
63.9 IPS |
|
|
Face Detection (HP)
|
100% |
6121
72.7 IPS |
|
|
Face Detection (Q)
|
100% |
5116
60.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8674
66.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9091
70.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
8477
66.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21313
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
24234
31.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23424
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4946
182.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5175
191.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4505
166.3 IPS |
|
|
Text Classification (SP)
|
100% |
2728
3.64 KIPS |
|
|
Text Classification (HP)
|
100% |
4670
6.23 KIPS |
|
|
Text Classification (Q)
|
93% |
4615
6.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1026
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1039
17.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1008
17.4 IPS |
