iPhone 14 Pro
Geekbench AI Score
3577
Single Precision Score
6135
Half Precision Score
4936
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | carefree_boy |
| Upload Date | November 26 2024 03:51 PM |
| Views | 2 |
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% |
1423
264.6 IPS |
|
|
Image Classification (HP)
|
100% |
2558
475.7 IPS |
|
|
Image Classification (Q)
|
96% |
1755
327.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1510
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2261
36.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2688
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7088
8.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
15158
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12977
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1595
126.5 IPS |
|
|
Object Detection (HP)
|
97% |
2918
232.3 IPS |
|
|
Object Detection (Q)
|
94% |
2062
164.3 IPS |
|
|
Face Detection (SP)
|
100% |
3143
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
6144
73.0 IPS |
|
|
Face Detection (Q)
|
100% |
3503
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6195
47.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12213
94.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8233
64.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18813
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28579
36.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23736
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4213
155.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5067
187.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3686
136.1 IPS |
|
|
Text Classification (SP)
|
100% |
2663
3.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4584
6.12 KIPS |
|
|
Text Classification (Q)
|
93% |
4565
6.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3437
59.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5930
102.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5909
102.1 IPS |
