iPhone 14 Pro
Geekbench AI Score
3465
Single Precision Score
6083
Half Precision Score
4956
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 10 2025 02:42 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1431
266.1 IPS |
|
|
Image Classification (HP)
|
100% |
2537
471.8 IPS |
|
|
Image Classification (Q)
|
96% |
1746
326.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1415
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2097
34.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2620
42.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6207
7.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
14539
17.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12159
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1576
125.0 IPS |
|
|
Object Detection (HP)
|
97% |
2882
229.4 IPS |
|
|
Object Detection (Q)
|
94% |
2049
163.3 IPS |
|
|
Face Detection (SP)
|
100% |
3142
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
6002
71.3 IPS |
|
|
Face Detection (Q)
|
100% |
3425
40.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5932
45.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11360
87.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7908
61.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18182
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
29422
37.8 IPS |
|
|
Style Transfer (Q)
|
96% |
24299
31.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4010
148.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5026
185.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3848
142.1 IPS |
|
|
Text Classification (SP)
|
100% |
2681
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4761
6.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4759
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3466
59.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6491
112.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6509
112.5 IPS |
