iPhone 14 Pro
Geekbench AI Score
3603
Single Precision Score
6132
Half Precision Score
4956
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | mavica |
| Upload Date | November 01 2024 12:09 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1444
268.6 IPS |
|
|
Image Classification (HP)
|
100% |
2573
478.5 IPS |
|
|
Image Classification (Q)
|
96% |
1763
329.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1480
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2213
35.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2683
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7146
8.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
15541
18.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13351
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1596
126.6 IPS |
|
|
Object Detection (HP)
|
97% |
2920
232.5 IPS |
|
|
Object Detection (Q)
|
94% |
2046
163.1 IPS |
|
|
Face Detection (SP)
|
100% |
3164
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
6144
73.0 IPS |
|
|
Face Detection (Q)
|
100% |
3515
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6296
48.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12252
94.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8253
64.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19277
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
28590
36.8 IPS |
|
|
Style Transfer (Q)
|
96% |
23806
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4233
156.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4957
183.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3722
137.4 IPS |
|
|
Text Classification (SP)
|
100% |
2617
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4618
6.16 KIPS |
|
|
Text Classification (Q)
|
93% |
4584
6.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3558
61.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5911
102.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5872
101.5 IPS |
