iPhone 14 Pro
Geekbench AI Score
3291
Single Precision Score
4919
Half Precision Score
4084
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | ckourey308 |
| Upload Date | August 19 2024 05:08 PM |
| Views | 6 |
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% |
1475
274.3 IPS |
|
|
Image Classification (HP)
|
100% |
1915
356.1 IPS |
|
|
Image Classification (Q)
|
99% |
1904
355.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1248
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1224
19.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
1226
19.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6538
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
14812
17.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
12545
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1589
126.0 IPS |
|
|
Object Detection (HP)
|
97% |
2278
181.4 IPS |
|
|
Object Detection (Q)
|
94% |
1739
138.6 IPS |
|
|
Face Detection (SP)
|
100% |
2811
33.4 IPS |
|
|
Face Detection (HP)
|
100% |
4531
53.8 IPS |
|
|
Face Detection (Q)
|
100% |
2898
34.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5599
43.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8724
67.4 IPS |
|
|
Depth Estimation (Q)
|
96% |
4408
34.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17716
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
27110
34.9 IPS |
|
|
Style Transfer (Q)
|
100% |
27154
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3880
143.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4886
180.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3656
135.4 IPS |
|
|
Text Classification (SP)
|
100% |
2601
3.47 KIPS |
|
|
Text Classification (HP)
|
100% |
4398
5.87 KIPS |
|
|
Text Classification (Q)
|
93% |
4387
5.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
2774
47.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4559
78.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4560
78.8 IPS |
