iPhone 14 Pro
Geekbench AI Score
3275
Single Precision Score
4893
Half Precision Score
4077
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Lucky_n00b |
| Upload Date | August 16 2024 05:14 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1454
270.3 IPS |
|
|
Image Classification (HP)
|
100% |
1895
352.3 IPS |
|
|
Image Classification (Q)
|
99% |
1905
355.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1247
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1224
19.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
1225
19.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6578
7.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
14763
17.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
12530
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1581
125.4 IPS |
|
|
Object Detection (HP)
|
97% |
2261
180.0 IPS |
|
|
Object Detection (Q)
|
94% |
1740
138.7 IPS |
|
|
Face Detection (SP)
|
100% |
2823
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
4516
53.7 IPS |
|
|
Face Detection (Q)
|
100% |
2911
34.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5629
43.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8726
67.4 IPS |
|
|
Depth Estimation (Q)
|
96% |
4414
34.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17709
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
27078
34.8 IPS |
|
|
Style Transfer (Q)
|
100% |
27112
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3919
144.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4801
177.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3647
135.1 IPS |
|
|
Text Classification (SP)
|
100% |
2586
3.45 KIPS |
|
|
Text Classification (HP)
|
100% |
4388
5.86 KIPS |
|
|
Text Classification (Q)
|
93% |
4335
5.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
2645
45.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4523
78.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4538
78.4 IPS |
