iPhone 14 Pro
Geekbench AI Score
1469
Single Precision Score
2180
Half Precision Score
1793
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | jwchess |
| Upload Date | August 15 2024 05:39 PM |
| Views | 5 |
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% |
625
116.1 IPS |
|
|
Image Classification (HP)
|
100% |
838
155.8 IPS |
|
|
Image Classification (Q)
|
99% |
817
152.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
554
8.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
541
8.78 IPS |
|
|
Image Segmentation (Q)
|
100% |
542
8.78 IPS |
|
|
Pose Estimation (SP)
|
100% |
2782
3.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
6280
7.33 IPS |
|
|
Pose Estimation (Q)
|
96% |
5415
6.34 IPS |
|
|
Object Detection (SP)
|
100% |
647
51.3 IPS |
|
|
Object Detection (HP)
|
97% |
1004
79.9 IPS |
|
|
Object Detection (Q)
|
94% |
731
58.3 IPS |
|
|
Face Detection (SP)
|
100% |
1354
16.1 IPS |
|
|
Face Detection (HP)
|
100% |
1948
23.1 IPS |
|
|
Face Detection (Q)
|
100% |
1240
14.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2407
18.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3793
29.3 IPS |
|
|
Depth Estimation (Q)
|
96% |
1962
15.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7734
9.94 IPS |
|
|
Style Transfer (HP)
|
100% |
11854
15.2 IPS |
|
|
Style Transfer (Q)
|
100% |
11802
15.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1765
65.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2291
84.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1643
60.9 IPS |
|
|
Text Classification (SP)
|
100% |
1202
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
1960
2.62 KIPS |
|
|
Text Classification (Q)
|
93% |
1952
2.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
1412
24.3 IPS |
|
|
Machine Translation (HP)
|
98% |
2160
37.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2138
37.0 IPS |
