iPhone 14 Pro
Geekbench AI Score
3052
Single Precision Score
4593
Half Precision Score
3736
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | andrewkendall |
| Upload Date | August 15 2024 08:39 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1450
269.7 IPS |
|
|
Image Classification (HP)
|
100% |
1921
357.3 IPS |
|
|
Image Classification (Q)
|
99% |
1931
360.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1248
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1241
20.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
1235
20.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6113
7.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
14265
16.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
12199
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1525
121.0 IPS |
|
|
Object Detection (HP)
|
97% |
2270
180.7 IPS |
|
|
Object Detection (Q)
|
94% |
1737
138.4 IPS |
|
|
Face Detection (SP)
|
100% |
2694
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
4439
52.7 IPS |
|
|
Face Detection (Q)
|
100% |
2833
33.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5195
40.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8072
62.4 IPS |
|
|
Depth Estimation (Q)
|
96% |
4125
31.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16278
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
22623
29.1 IPS |
|
|
Style Transfer (Q)
|
100% |
19425
25.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3133
115.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4143
153.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3053
113.1 IPS |
|
|
Text Classification (SP)
|
100% |
2501
3.34 KIPS |
|
|
Text Classification (HP)
|
100% |
4182
5.58 KIPS |
|
|
Text Classification (Q)
|
93% |
3964
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2336
40.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3856
66.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3825
66.1 IPS |
