iPhone 14 Pro
Geekbench AI Score
4158
Single Precision Score
4599
Half Precision Score
4283
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | rennsport |
| Upload Date | July 01 2025 09:56 PM |
| Views | 6 |
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% |
1679
312.3 IPS |
|
|
Image Classification (HP)
|
100% |
1612
299.7 IPS |
|
|
Image Classification (Q)
|
96% |
1653
308.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2856
46.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2913
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2766
44.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11750
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12790
14.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12408
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1975
156.7 IPS |
|
|
Object Detection (HP)
|
100% |
1940
153.9 IPS |
|
|
Object Detection (Q)
|
92% |
1722
137.5 IPS |
|
|
Face Detection (SP)
|
100% |
5359
63.7 IPS |
|
|
Face Detection (HP)
|
100% |
6207
73.7 IPS |
|
|
Face Detection (Q)
|
100% |
5053
60.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8570
66.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8952
69.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
8308
64.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21375
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
24282
31.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23635
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4869
179.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5156
190.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4233
156.3 IPS |
|
|
Text Classification (SP)
|
100% |
2711
3.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4924
6.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4831
6.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1073
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1061
18.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1049
18.1 IPS |
