iPhone 14 Pro
Geekbench AI Score
2405
Single Precision Score
12702
Half Precision Score
13803
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | visy |
| Upload Date | August 18 2024 01:59 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1233
229.3 IPS |
|
|
Image Classification (HP)
|
100% |
5819
1.08 KIPS |
|
|
Image Classification (Q)
|
99% |
6035
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
753
12.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5069
82.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
5052
81.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6527
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
79409
92.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
85045
99.8 IPS |
|
|
Object Detection (SP)
|
100% |
1331
105.6 IPS |
|
|
Object Detection (HP)
|
100% |
7282
577.6 IPS |
|
|
Object Detection (Q)
|
93% |
8270
659.9 IPS |
|
|
Face Detection (SP)
|
100% |
2201
26.2 IPS |
|
|
Face Detection (HP)
|
100% |
10962
130.3 IPS |
|
|
Face Detection (Q)
|
100% |
12863
152.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4186
32.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
39536
304.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
45541
352.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11395
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
121798
156.6 IPS |
|
|
Style Transfer (Q)
|
100% |
121694
156.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3318
122.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16622
613.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
21068
780.6 IPS |
|
|
Text Classification (SP)
|
100% |
1383
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
3077
4.11 KIPS |
|
|
Text Classification (Q)
|
93% |
3276
4.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1668
28.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2375
40.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2381
41.1 IPS |
