iPhone 14 Pro
Geekbench AI Score
3393
Single Precision Score
6085
Half Precision Score
4963
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 23 2025 09:36 PM |
| Views | 2 |
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% |
1409
262.0 IPS |
|
|
Image Classification (HP)
|
100% |
2550
474.2 IPS |
|
|
Image Classification (Q)
|
96% |
1747
326.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1408
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2098
34.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2625
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5443
6.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
14680
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12501
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1559
123.7 IPS |
|
|
Object Detection (HP)
|
97% |
2895
230.5 IPS |
|
|
Object Detection (Q)
|
94% |
2046
163.1 IPS |
|
|
Face Detection (SP)
|
100% |
3013
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
5957
70.8 IPS |
|
|
Face Detection (Q)
|
100% |
3396
40.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5925
45.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11437
88.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7893
61.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18198
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
29237
37.6 IPS |
|
|
Style Transfer (Q)
|
96% |
24353
31.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3996
147.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5001
184.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3863
142.6 IPS |
|
|
Text Classification (SP)
|
100% |
2697
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
4703
6.28 KIPS |
|
|
Text Classification (Q)
|
93% |
4700
6.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3437
59.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6539
113.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6527
112.8 IPS |
