iPhone 14 Pro
Geekbench AI Score
3931
Single Precision Score
4294
Half Precision Score
3802
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Chris Sack |
| Upload Date | January 21 2025 06:20 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
1656
308.0 IPS |
|
|
Image Classification (HP)
|
100% |
1460
271.5 IPS |
|
|
Image Classification (Q)
|
97% |
1478
275.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2325
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2520
40.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2501
40.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11751
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12320
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11652
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1955
155.1 IPS |
|
|
Object Detection (HP)
|
100% |
2057
163.2 IPS |
|
|
Object Detection (Q)
|
91% |
1605
128.3 IPS |
|
|
Face Detection (SP)
|
100% |
5400
64.2 IPS |
|
|
Face Detection (HP)
|
100% |
5992
71.2 IPS |
|
|
Face Detection (Q)
|
100% |
4115
48.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8544
65.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8834
68.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7363
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21213
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23739
30.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22105
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4798
177.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4976
183.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3772
139.3 IPS |
|
|
Text Classification (SP)
|
100% |
2656
3.54 KIPS |
|
|
Text Classification (HP)
|
100% |
4599
6.14 KIPS |
|
|
Text Classification (Q)
|
93% |
4570
6.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
799
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
796
13.7 IPS |
|
|
Machine Translation (Q)
|
98% |
791
13.7 IPS |
