iPhone 14 Pro
Geekbench AI Score
3550
Single Precision Score
6085
Half Precision Score
4940
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 03 2025 09:59 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1392
258.9 IPS |
|
|
Image Classification (HP)
|
100% |
2520
468.7 IPS |
|
|
Image Classification (Q)
|
96% |
1746
326.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1441
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2171
35.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2686
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7107
8.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
15180
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13052
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1588
126.0 IPS |
|
|
Object Detection (HP)
|
97% |
2913
231.9 IPS |
|
|
Object Detection (Q)
|
94% |
2057
164.0 IPS |
|
|
Face Detection (SP)
|
100% |
3098
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
6079
72.2 IPS |
|
|
Face Detection (Q)
|
100% |
3487
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6271
48.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12234
94.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8265
64.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18896
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28363
36.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23741
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4209
155.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4964
183.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3704
136.8 IPS |
|
|
Text Classification (SP)
|
100% |
2630
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4639
6.19 KIPS |
|
|
Text Classification (Q)
|
93% |
4607
6.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3460
59.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5932
102.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5894
101.9 IPS |
