iPhone 14 Pro
Geekbench AI Score
3564
Single Precision Score
6123
Half Precision Score
4933
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 10 2024 01:17 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1421
264.2 IPS |
|
|
Image Classification (HP)
|
100% |
2530
470.5 IPS |
|
|
Image Classification (Q)
|
96% |
1726
322.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1451
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2180
35.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2683
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7040
8.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
15295
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13145
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1578
125.2 IPS |
|
|
Object Detection (HP)
|
97% |
2905
231.3 IPS |
|
|
Object Detection (Q)
|
94% |
2050
163.4 IPS |
|
|
Face Detection (SP)
|
100% |
3163
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
6104
72.5 IPS |
|
|
Face Detection (Q)
|
100% |
3500
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6299
48.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12275
94.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8307
64.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19029
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
28634
36.8 IPS |
|
|
Style Transfer (Q)
|
96% |
23780
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4252
157.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5083
187.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3773
139.3 IPS |
|
|
Text Classification (SP)
|
100% |
2604
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4778
6.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4544
6.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3440
59.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5802
100.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5775
99.8 IPS |
