iPhone 14 Pro
Geekbench AI Score
3148
Single Precision Score
3270
Half Precision Score
3113
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | barcellos |
| Upload Date | August 17 2024 01:36 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1383
257.3 IPS |
|
|
Image Classification (HP)
|
100% |
1281
238.2 IPS |
|
|
Image Classification (Q)
|
99% |
1593
297.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2314
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2523
40.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
2545
41.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11672
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12333
14.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
11087
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1852
146.9 IPS |
|
|
Object Detection (HP)
|
100% |
1901
150.8 IPS |
|
|
Object Detection (Q)
|
92% |
1503
120.0 IPS |
|
|
Face Detection (SP)
|
100% |
5183
61.6 IPS |
|
|
Face Detection (HP)
|
100% |
6002
71.3 IPS |
|
|
Face Detection (Q)
|
100% |
3806
45.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8418
64.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
8818
67.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
9005
69.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21024
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23178
29.8 IPS |
|
|
Style Transfer (Q)
|
100% |
23294
29.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4583
169.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4819
177.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3746
138.8 IPS |
|
|
Text Classification (SP)
|
100% |
382
509.7 IPS |
|
|
Text Classification (HP)
|
100% |
366
489.2 IPS |
|
|
Text Classification (Q)
|
93% |
290
389.3 IPS |
|
|
Machine Translation (SP)
|
100% |
861
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
853
14.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1459
25.2 IPS |
