iPhone 14 Pro
Geekbench AI Score
4174
Single Precision Score
4561
Half Precision Score
4275
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 10 2025 03:02 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1687
313.7 IPS |
|
|
Image Classification (HP)
|
100% |
1526
283.8 IPS |
|
|
Image Classification (Q)
|
96% |
1642
306.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2842
46.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2868
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2815
45.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11688
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12441
14.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
11813
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1959
155.4 IPS |
|
|
Object Detection (HP)
|
100% |
1945
154.3 IPS |
|
|
Object Detection (Q)
|
92% |
1789
142.8 IPS |
|
|
Face Detection (SP)
|
100% |
5469
65.0 IPS |
|
|
Face Detection (HP)
|
100% |
6407
76.1 IPS |
|
|
Face Detection (Q)
|
100% |
5182
61.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8699
67.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9108
70.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8352
65.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20939
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
23307
30.0 IPS |
|
|
Style Transfer (Q)
|
96% |
22771
29.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4685
173.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4856
179.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4195
154.9 IPS |
|
|
Text Classification (SP)
|
100% |
2697
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
4805
6.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4773
6.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1164
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1161
20.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1059
18.3 IPS |
