iPhone 14 Pro
Geekbench AI Score
3296
Single Precision Score
4925
Half Precision Score
4242
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 17 2024 04:15 PM |
| Views | 2 |
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% |
1461
271.8 IPS |
|
|
Image Classification (HP)
|
100% |
1904
354.2 IPS |
|
|
Image Classification (Q)
|
96% |
1468
274.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1256
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1227
19.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1855
30.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6504
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
14755
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12669
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1582
125.5 IPS |
|
|
Object Detection (HP)
|
97% |
2267
180.5 IPS |
|
|
Object Detection (Q)
|
94% |
1734
138.2 IPS |
|
|
Face Detection (SP)
|
100% |
2884
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
4603
54.7 IPS |
|
|
Face Detection (Q)
|
100% |
2924
34.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5636
43.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
8736
67.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
6580
51.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17710
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
27075
34.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22568
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3874
143.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4906
181.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3688
136.2 IPS |
|
|
Text Classification (SP)
|
100% |
2591
3.46 KIPS |
|
|
Text Classification (HP)
|
100% |
4377
5.84 KIPS |
|
|
Text Classification (Q)
|
93% |
4295
5.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
2780
47.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4604
79.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4587
79.3 IPS |
