iPhone 14 Pro
Geekbench AI Score
3642
Single Precision Score
3868
Half Precision Score
3451
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 09:13 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1852
344.4 IPS |
|
|
Image Classification (HP)
|
100% |
1765
328.3 IPS |
|
|
Image Classification (Q)
|
97% |
1602
299.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2456
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2664
43.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2635
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11862
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10121
11.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
9801
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1716
136.1 IPS |
|
|
Object Detection (HP)
|
100% |
1884
149.5 IPS |
|
|
Object Detection (Q)
|
91% |
1388
110.9 IPS |
|
|
Face Detection (SP)
|
100% |
4667
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
5608
66.6 IPS |
|
|
Face Detection (Q)
|
100% |
3882
46.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6658
51.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
6166
47.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
5887
46.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17154
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
15452
19.9 IPS |
|
|
Style Transfer (Q)
|
96% |
14999
19.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3922
144.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4675
172.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3602
133.0 IPS |
|
|
Text Classification (SP)
|
100% |
2616
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4668
6.23 KIPS |
|
|
Text Classification (Q)
|
93% |
4526
6.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
812
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
718
12.4 IPS |
|
|
Machine Translation (Q)
|
98% |
747
12.9 IPS |
