iPhone 14 Pro
Geekbench AI Score
3528
Single Precision Score
6027
Half Precision Score
4894
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | kairos |
| Upload Date | March 27 2025 02:12 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1393
259.1 IPS |
|
|
Image Classification (HP)
|
100% |
2534
471.3 IPS |
|
|
Image Classification (Q)
|
96% |
1733
323.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1431
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2162
35.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2682
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6908
8.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
14947
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12860
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1562
123.9 IPS |
|
|
Object Detection (HP)
|
97% |
2884
229.6 IPS |
|
|
Object Detection (Q)
|
94% |
2026
161.5 IPS |
|
|
Face Detection (SP)
|
100% |
3107
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
6098
72.5 IPS |
|
|
Face Detection (Q)
|
100% |
3514
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6112
47.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11990
92.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8097
63.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19217
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
27986
36.0 IPS |
|
|
Style Transfer (Q)
|
96% |
23413
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4270
157.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4835
178.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3651
134.8 IPS |
|
|
Text Classification (SP)
|
100% |
2612
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4671
6.23 KIPS |
|
|
Text Classification (Q)
|
93% |
4616
6.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3420
58.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5797
100.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5805
100.3 IPS |
