iPhone 14 Pro
Geekbench AI Score
4119
Single Precision Score
4530
Half Precision Score
4414
Quantized Score
Geekbench AI 1.4.0-Beta1 Corporate for iOS AArch64
Result Information
| Upload Date | June 06 2025 07:59 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1410
262.3 IPS |
|
|
Image Classification (HP)
|
100% |
1223
227.4 IPS |
|
|
Image Classification (Q)
|
96% |
1672
312.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2874
46.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2948
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2829
45.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11754
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12940
15.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
12433
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1950
154.7 IPS |
|
|
Object Detection (HP)
|
100% |
1965
155.8 IPS |
|
|
Object Detection (Q)
|
92% |
1769
141.2 IPS |
|
|
Face Detection (SP)
|
100% |
5664
67.3 IPS |
|
|
Face Detection (HP)
|
100% |
6491
77.1 IPS |
|
|
Face Detection (Q)
|
100% |
5291
62.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8840
68.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
9391
72.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
8641
67.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21088
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23603
30.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23220
30.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4624
170.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4886
180.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4386
161.9 IPS |
|
|
Text Classification (SP)
|
100% |
2718
3.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4889
6.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4863
6.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1141
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1157
19.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1192
20.6 IPS |
