iPhone 14 Pro
Geekbench AI Score
3554
Single Precision Score
23098
Half Precision Score
26023
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 24 2024 12:22 AM |
| 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% |
1425
265.1 IPS |
|
|
Image Classification (HP)
|
100% |
10084
1.88 KIPS |
|
|
Image Classification (Q)
|
97% |
12541
2.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1438
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
14405
233.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
18054
292.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7046
8.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
96159
112.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
102366
120.0 IPS |
|
|
Object Detection (SP)
|
100% |
1589
126.0 IPS |
|
|
Object Detection (HP)
|
100% |
12610
1.00 KIPS |
|
|
Object Detection (Q)
|
91% |
14333
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
3068
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
30560
363.1 IPS |
|
|
Face Detection (Q)
|
100% |
39507
469.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6100
47.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
75660
582.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
95826
749.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18907
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
174613
224.5 IPS |
|
|
Style Transfer (Q)
|
96% |
171415
221.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4333
160.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31255
1.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35637
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
2601
3.47 KIPS |
|
|
Text Classification (HP)
|
100% |
2598
3.47 KIPS |
|
|
Text Classification (Q)
|
93% |
2232
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3519
60.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7488
129.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8307
143.5 IPS |
