iPhone 14 Pro
Geekbench AI Score
3538
Single Precision Score
6188
Half Precision Score
5041
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | rennsport |
| Upload Date | July 01 2025 09:50 PM |
| Views | 8 |
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% |
1396
259.6 IPS |
|
|
Image Classification (HP)
|
100% |
2556
475.3 IPS |
|
|
Image Classification (Q)
|
96% |
1755
327.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1416
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2104
34.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2631
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7127
8.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
15528
18.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13259
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1584
125.6 IPS |
|
|
Object Detection (HP)
|
97% |
2906
231.4 IPS |
|
|
Object Detection (Q)
|
94% |
2062
164.4 IPS |
|
|
Face Detection (SP)
|
100% |
3050
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
6010
71.4 IPS |
|
|
Face Detection (Q)
|
100% |
3465
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6086
46.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11510
89.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7976
62.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19068
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29776
38.3 IPS |
|
|
Style Transfer (Q)
|
96% |
24478
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4119
152.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5119
189.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3866
142.7 IPS |
|
|
Text Classification (SP)
|
100% |
2673
3.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4862
6.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4822
6.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3540
61.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6619
114.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6658
115.1 IPS |
