iPhone 14 Pro
Geekbench AI Score
3449
Single Precision Score
6001
Half Precision Score
4874
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 03:39 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1428
265.6 IPS |
|
|
Image Classification (HP)
|
100% |
2507
466.2 IPS |
|
|
Image Classification (Q)
|
96% |
1760
328.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1450
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2153
34.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2678
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5817
6.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
14320
16.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12172
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1550
122.9 IPS |
|
|
Object Detection (HP)
|
97% |
2881
229.4 IPS |
|
|
Object Detection (Q)
|
94% |
2023
161.2 IPS |
|
|
Face Detection (SP)
|
100% |
3046
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
6094
72.4 IPS |
|
|
Face Detection (Q)
|
100% |
3473
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6158
47.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12077
93.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8162
63.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18561
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28179
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23330
30.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4039
149.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4892
180.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3696
136.5 IPS |
|
|
Text Classification (SP)
|
100% |
2665
3.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4650
6.21 KIPS |
|
|
Text Classification (Q)
|
93% |
4558
6.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3405
58.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5770
99.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5857
101.2 IPS |
