iPhone 14 Pro
Geekbench AI Score
4178
Single Precision Score
4629
Half Precision Score
4384
Quantized Score
Geekbench AI 1.4.0-Beta1 Corporate for iOS AArch64
Result Information
| Upload Date | June 06 2025 07:53 PM |
| Views | 4 |
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% |
1665
309.6 IPS |
|
|
Image Classification (HP)
|
100% |
1552
288.7 IPS |
|
|
Image Classification (Q)
|
96% |
1644
306.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2856
46.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2962
48.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2840
46.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11701
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12908
15.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
12323
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1969
156.2 IPS |
|
|
Object Detection (HP)
|
100% |
1953
154.9 IPS |
|
|
Object Detection (Q)
|
92% |
1775
141.6 IPS |
|
|
Face Detection (SP)
|
100% |
5437
64.6 IPS |
|
|
Face Detection (HP)
|
100% |
6478
77.0 IPS |
|
|
Face Detection (Q)
|
100% |
5276
62.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8792
67.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
9461
72.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
8606
67.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21093
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23956
30.8 IPS |
|
|
Style Transfer (Q)
|
96% |
23334
30.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4702
173.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5022
185.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4337
160.1 IPS |
|
|
Text Classification (SP)
|
100% |
2712
3.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4870
6.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4862
6.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1151
19.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1086
18.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1150
19.9 IPS |
