iPhone 14 Pro
Geekbench AI Score
3557
Single Precision Score
6228
Half Precision Score
5034
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 23 2025 04:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
1427
265.3 IPS |
|
|
Image Classification (HP)
|
100% |
2562
476.5 IPS |
|
|
Image Classification (Q)
|
96% |
1766
329.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1478
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2202
35.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2647
42.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7121
8.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
15887
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13290
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1580
125.4 IPS |
|
|
Object Detection (HP)
|
97% |
2896
230.6 IPS |
|
|
Object Detection (Q)
|
94% |
2053
163.6 IPS |
|
|
Face Detection (SP)
|
100% |
3018
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
5985
71.1 IPS |
|
|
Face Detection (Q)
|
100% |
3454
41.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6079
46.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11513
89.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7941
62.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19079
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29684
38.2 IPS |
|
|
Style Transfer (Q)
|
96% |
24446
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4138
152.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5190
191.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3860
142.5 IPS |
|
|
Text Classification (SP)
|
100% |
2701
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
4800
6.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4772
6.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3494
60.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6640
114.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6645
114.8 IPS |
