iPhone 14 Pro
Geekbench AI Score
3418
Single Precision Score
5993
Half Precision Score
4814
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 07:16 PM |
| Views | 1 |
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% |
1433
266.5 IPS |
|
|
Image Classification (HP)
|
100% |
2535
471.4 IPS |
|
|
Image Classification (Q)
|
96% |
1730
323.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1335
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1969
31.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2502
40.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6302
7.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
14305
16.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12280
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1407
111.6 IPS |
|
|
Object Detection (HP)
|
97% |
2831
225.4 IPS |
|
|
Object Detection (Q)
|
94% |
1972
157.2 IPS |
|
|
Face Detection (SP)
|
100% |
3062
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
5939
70.6 IPS |
|
|
Face Detection (Q)
|
100% |
3366
40.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6082
46.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12144
93.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8120
63.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18283
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
27761
35.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23609
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4140
152.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5174
191.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3684
136.0 IPS |
|
|
Text Classification (SP)
|
100% |
2647
3.53 KIPS |
|
|
Text Classification (HP)
|
100% |
4756
6.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4553
6.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3448
59.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6009
103.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5904
102.0 IPS |
