iPhone 14 Pro
Geekbench AI Score
3565
Single Precision Score
6067
Half Precision Score
4943
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 02 2025 10:24 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
2526
469.8 IPS |
|
|
Image Classification (Q)
|
96% |
1727
322.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1447
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2159
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2688
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7111
8.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
15250
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13099
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1583
125.6 IPS |
|
|
Object Detection (HP)
|
97% |
2915
232.1 IPS |
|
|
Object Detection (Q)
|
94% |
2042
162.8 IPS |
|
|
Face Detection (SP)
|
100% |
3145
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
6097
72.4 IPS |
|
|
Face Detection (Q)
|
100% |
3481
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6263
48.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12230
94.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8232
64.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18919
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28153
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23698
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4200
155.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4897
180.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3740
138.1 IPS |
|
|
Text Classification (SP)
|
100% |
2628
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4590
6.13 KIPS |
|
|
Text Classification (Q)
|
93% |
4665
6.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3467
59.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5916
102.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5921
102.3 IPS |
