iPhone 14 Pro
Geekbench AI Score
3564
Single Precision Score
6072
Half Precision Score
4941
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | l3uzz |
| Upload Date | October 08 2024 03:17 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1444
268.6 IPS |
|
|
Image Classification (HP)
|
100% |
2539
472.2 IPS |
|
|
Image Classification (Q)
|
96% |
1753
327.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1494
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2160
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2668
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6602
7.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
14090
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12873
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1572
124.7 IPS |
|
|
Object Detection (HP)
|
97% |
2920
232.4 IPS |
|
|
Object Detection (Q)
|
94% |
2085
166.1 IPS |
|
|
Face Detection (SP)
|
100% |
3191
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
6163
73.2 IPS |
|
|
Face Detection (Q)
|
100% |
3522
41.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6194
47.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12282
94.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8339
65.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18924
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
29072
37.4 IPS |
|
|
Style Transfer (Q)
|
96% |
23760
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4191
154.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5041
186.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3685
136.1 IPS |
|
|
Text Classification (SP)
|
100% |
2659
3.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4618
6.16 KIPS |
|
|
Text Classification (Q)
|
93% |
4630
6.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3547
61.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5900
101.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5809
100.4 IPS |
