iPhone 14 Pro
Geekbench AI Score
3541
Single Precision Score
6062
Half Precision Score
4928
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 01 2025 03:50 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1400
260.4 IPS |
|
|
Image Classification (HP)
|
100% |
2523
469.2 IPS |
|
|
Image Classification (Q)
|
96% |
1738
324.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1436
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2162
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2692
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7163
8.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
15243
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13097
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1590
126.1 IPS |
|
|
Object Detection (HP)
|
97% |
2930
233.2 IPS |
|
|
Object Detection (Q)
|
94% |
2051
163.5 IPS |
|
|
Face Detection (SP)
|
100% |
2967
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
6086
72.3 IPS |
|
|
Face Detection (Q)
|
100% |
3495
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6171
47.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12141
93.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8255
64.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19047
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
28506
36.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23766
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4254
157.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4840
178.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3676
135.7 IPS |
|
|
Text Classification (SP)
|
100% |
2615
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4587
6.12 KIPS |
|
|
Text Classification (Q)
|
93% |
4520
6.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3495
60.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5884
101.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5906
102.1 IPS |
