iPhone 14 Pro
Geekbench AI Score
3544
Single Precision Score
6197
Half Precision Score
5016
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | callearvid |
| Upload Date | May 14 2025 08:29 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1430
266.0 IPS |
|
|
Image Classification (HP)
|
100% |
2533
471.0 IPS |
|
|
Image Classification (Q)
|
96% |
1741
325.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1416
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2180
35.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2616
42.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6998
8.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
15613
18.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13255
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1576
125.0 IPS |
|
|
Object Detection (HP)
|
97% |
2894
230.4 IPS |
|
|
Object Detection (Q)
|
94% |
2058
164.0 IPS |
|
|
Face Detection (SP)
|
100% |
3056
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
5975
71.0 IPS |
|
|
Face Detection (Q)
|
100% |
3457
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6092
46.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11549
89.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7945
62.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18967
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
29716
38.2 IPS |
|
|
Style Transfer (Q)
|
96% |
24413
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4143
153.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5173
191.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3871
142.9 IPS |
|
|
Text Classification (SP)
|
100% |
2687
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4791
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4771
6.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3561
61.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6597
114.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6559
113.4 IPS |
