iPhone 14 Pro
Geekbench AI Score
3511
Single Precision Score
22578
Half Precision Score
25447
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 09:15 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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
265.5 IPS |
|
|
Image Classification (HP)
|
100% |
10268
1.91 KIPS |
|
|
Image Classification (Q)
|
97% |
12029
2.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1444
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14521
235.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
17675
286.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6738
7.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
97036
113.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
101580
119.1 IPS |
|
|
Object Detection (SP)
|
100% |
1584
125.6 IPS |
|
|
Object Detection (HP)
|
100% |
12829
1.02 KIPS |
|
|
Object Detection (Q)
|
91% |
14674
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3054
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
29919
355.5 IPS |
|
|
Face Detection (Q)
|
100% |
39357
467.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6048
46.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
74898
577.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
95783
748.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18673
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
166455
214.0 IPS |
|
|
Style Transfer (Q)
|
96% |
169113
218.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4132
152.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32887
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36575
1.35 KIPS |
|
|
Text Classification (SP)
|
100% |
2611
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
2067
2.76 KIPS |
|
|
Text Classification (Q)
|
93% |
1874
2.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3480
59.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7315
126.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8225
142.1 IPS |
