iPhone 14 Pro
Geekbench AI Score
3430
Single Precision Score
6127
Half Precision Score
4986
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 10 2025 02:44 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1403
261.0 IPS |
|
|
Image Classification (HP)
|
100% |
2548
473.9 IPS |
|
|
Image Classification (Q)
|
96% |
1743
325.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1405
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2113
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2639
42.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5684
6.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
14687
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12399
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1571
124.6 IPS |
|
|
Object Detection (HP)
|
97% |
2884
229.6 IPS |
|
|
Object Detection (Q)
|
94% |
2053
163.6 IPS |
|
|
Face Detection (SP)
|
100% |
3099
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
5993
71.2 IPS |
|
|
Face Detection (Q)
|
100% |
3430
40.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5909
45.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11479
88.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7912
61.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18474
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
29689
38.2 IPS |
|
|
Style Transfer (Q)
|
96% |
24383
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4004
147.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5126
189.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3886
143.5 IPS |
|
|
Text Classification (SP)
|
100% |
2677
3.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4763
6.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4742
6.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3540
61.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6560
113.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6656
115.0 IPS |
