iPhone 14 Pro
Geekbench AI Score
3281
Single Precision Score
4903
Half Precision Score
4088
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | tyc0746 |
| Upload Date | August 15 2024 09:56 PM |
| Views | 26 |
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% |
1463
272.2 IPS |
|
|
Image Classification (HP)
|
100% |
1908
354.8 IPS |
|
|
Image Classification (Q)
|
99% |
1907
355.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1245
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1226
19.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
1222
19.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6435
7.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
14640
17.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
12483
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1563
124.0 IPS |
|
|
Object Detection (HP)
|
97% |
2282
181.7 IPS |
|
|
Object Detection (Q)
|
94% |
1743
139.0 IPS |
|
|
Face Detection (SP)
|
100% |
2825
33.6 IPS |
|
|
Face Detection (HP)
|
100% |
4530
53.8 IPS |
|
|
Face Detection (Q)
|
100% |
2905
34.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5558
42.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8739
67.5 IPS |
|
|
Depth Estimation (Q)
|
96% |
4415
34.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17613
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
26947
34.6 IPS |
|
|
Style Transfer (Q)
|
100% |
26992
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3876
143.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4804
177.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3682
136.4 IPS |
|
|
Text Classification (SP)
|
100% |
2584
3.45 KIPS |
|
|
Text Classification (HP)
|
100% |
4434
5.92 KIPS |
|
|
Text Classification (Q)
|
93% |
4423
5.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
2851
49.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4525
78.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4571
79.0 IPS |
