iPhone 14 Pro
Geekbench AI Score
3550
Single Precision Score
6251
Half Precision Score
5080
Quantized Score
Geekbench AI 1.4.0-Beta1 Corporate for iOS AArch64
Result Information
| Upload Date | June 06 2025 07:57 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1439
267.5 IPS |
|
|
Image Classification (HP)
|
100% |
2580
479.8 IPS |
|
|
Image Classification (Q)
|
96% |
1765
329.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1424
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2123
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2650
43.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6892
8.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
15720
18.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13252
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1574
124.9 IPS |
|
|
Object Detection (HP)
|
97% |
2925
232.9 IPS |
|
|
Object Detection (Q)
|
94% |
2078
165.6 IPS |
|
|
Face Detection (SP)
|
100% |
3140
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
6037
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
3494
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6156
47.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11711
90.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8090
63.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18930
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
30003
38.6 IPS |
|
|
Style Transfer (Q)
|
96% |
24641
31.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4186
154.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5223
192.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3914
144.5 IPS |
|
|
Text Classification (SP)
|
100% |
2727
3.64 KIPS |
|
|
Text Classification (HP)
|
100% |
4899
6.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4846
6.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3431
59.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6673
115.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6734
116.4 IPS |
