iPhone 14 Pro
Geekbench AI Score
4191
Single Precision Score
4689
Half Precision Score
4294
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | winzee |
| Upload Date | August 05 2025 01:12 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
1641
305.2 IPS |
|
|
Image Classification (HP)
|
100% |
1569
291.8 IPS |
|
|
Image Classification (Q)
|
96% |
1626
303.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2880
46.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2949
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2822
45.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11702
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12792
14.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12407
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
2005
159.1 IPS |
|
|
Object Detection (HP)
|
100% |
1948
154.5 IPS |
|
|
Object Detection (Q)
|
92% |
1754
140.0 IPS |
|
|
Face Detection (SP)
|
100% |
5478
65.1 IPS |
|
|
Face Detection (HP)
|
100% |
6109
72.6 IPS |
|
|
Face Detection (Q)
|
100% |
5091
60.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8712
67.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
9280
71.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
8374
65.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21334
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
24191
31.1 IPS |
|
|
Style Transfer (Q)
|
96% |
23587
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4900
180.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5024
185.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4372
161.4 IPS |
|
|
Text Classification (SP)
|
100% |
2707
3.61 KIPS |
|
|
Text Classification (HP)
|
100% |
4860
6.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4826
6.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1117
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1332
22.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1006
17.4 IPS |
