iPhone 14 Pro
Geekbench AI Score
2335
Single Precision Score
13033
Half Precision Score
14955
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Hogehoge |
| Upload Date | September 09 2024 07:53 AM |
| Views | 5 |
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% |
1208
224.6 IPS |
|
|
Image Classification (HP)
|
100% |
5781
1.08 KIPS |
|
|
Image Classification (Q)
|
97% |
6315
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
725
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5042
81.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9562
155.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5965
6.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
78394
91.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
85977
100.8 IPS |
|
|
Object Detection (SP)
|
100% |
1300
103.1 IPS |
|
|
Object Detection (HP)
|
100% |
7745
614.3 IPS |
|
|
Object Detection (Q)
|
93% |
8426
672.4 IPS |
|
|
Face Detection (SP)
|
100% |
2180
25.9 IPS |
|
|
Face Detection (HP)
|
100% |
10854
129.0 IPS |
|
|
Face Detection (Q)
|
100% |
13043
155.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4079
31.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
44172
340.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
51636
403.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11005
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
122025
156.9 IPS |
|
|
Style Transfer (Q)
|
96% |
116666
150.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3219
118.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16626
613.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20957
773.8 IPS |
|
|
Text Classification (SP)
|
100% |
1370
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
3565
4.76 KIPS |
|
|
Text Classification (Q)
|
93% |
3431
4.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1647
28.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2305
39.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2265
39.1 IPS |
