iPhone 14 Pro
Geekbench AI Score
3542
Single Precision Score
6172
Half Precision Score
5052
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Gamepak40 |
| Upload Date | August 09 2025 08:22 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
1395
259.4 IPS |
|
|
Image Classification (HP)
|
100% |
2517
468.0 IPS |
|
|
Image Classification (Q)
|
96% |
1742
325.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1421
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2106
34.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2631
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7170
8.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
15601
18.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13331
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1584
125.6 IPS |
|
|
Object Detection (HP)
|
97% |
2898
230.7 IPS |
|
|
Object Detection (Q)
|
94% |
2071
165.1 IPS |
|
|
Face Detection (SP)
|
100% |
3037
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
5985
71.1 IPS |
|
|
Face Detection (Q)
|
100% |
3445
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6101
47.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11451
88.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8091
63.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19011
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
29668
38.1 IPS |
|
|
Style Transfer (Q)
|
96% |
24379
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4148
153.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5095
188.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3853
142.3 IPS |
|
|
Text Classification (SP)
|
100% |
2714
3.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4817
6.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4875
6.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3491
60.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6715
116.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6709
115.9 IPS |
