iPhone 14 Pro
Geekbench AI Score
3542
Single Precision Score
6063
Half Precision Score
4927
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 27 2024 06:59 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1435
266.9 IPS |
|
|
Image Classification (HP)
|
100% |
2551
474.5 IPS |
|
|
Image Classification (Q)
|
96% |
1745
325.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1494
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2164
35.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2684
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6869
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
14664
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12584
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1566
124.2 IPS |
|
|
Object Detection (HP)
|
97% |
2930
233.3 IPS |
|
|
Object Detection (Q)
|
94% |
2059
164.1 IPS |
|
|
Face Detection (SP)
|
100% |
3094
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
6089
72.4 IPS |
|
|
Face Detection (Q)
|
100% |
3526
41.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6088
46.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12240
94.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8337
65.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18773
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28296
36.4 IPS |
|
|
Style Transfer (Q)
|
96% |
23719
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4231
156.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4874
180.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3661
135.2 IPS |
|
|
Text Classification (SP)
|
100% |
2609
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4648
6.20 KIPS |
|
|
Text Classification (Q)
|
93% |
4645
6.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3460
59.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5932
102.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5863
101.3 IPS |
