iPhone 14 Pro
Geekbench AI Score
3554
Single Precision Score
22506
Half Precision Score
26471
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | danielmcfarland |
| Upload Date | December 26 2024 08:57 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1444
268.5 IPS |
|
|
Image Classification (HP)
|
100% |
10190
1.89 KIPS |
|
|
Image Classification (Q)
|
97% |
13014
2.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1443
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14702
238.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
18198
295.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7056
8.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
96447
112.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
101969
119.5 IPS |
|
|
Object Detection (SP)
|
100% |
1580
125.3 IPS |
|
|
Object Detection (HP)
|
100% |
12926
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
14510
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3067
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
30726
365.1 IPS |
|
|
Face Detection (Q)
|
100% |
40445
480.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6242
48.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
75794
583.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
97189
759.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18844
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
167656
215.5 IPS |
|
|
Style Transfer (Q)
|
96% |
173122
223.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4230
156.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31548
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37330
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
2627
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
2045
2.73 KIPS |
|
|
Text Classification (Q)
|
93% |
2348
3.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3459
59.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7089
122.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8084
139.7 IPS |
