iPhone 14 Pro
Geekbench AI Score
3501
Single Precision Score
6193
Half Precision Score
5017
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 10 2025 02:37 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1437
267.2 IPS |
|
|
Image Classification (HP)
|
100% |
2558
475.8 IPS |
|
|
Image Classification (Q)
|
96% |
1750
326.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1417
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2117
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2635
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6715
7.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
15161
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12860
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1570
124.6 IPS |
|
|
Object Detection (HP)
|
97% |
2902
231.0 IPS |
|
|
Object Detection (Q)
|
94% |
2058
164.1 IPS |
|
|
Face Detection (SP)
|
100% |
3123
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
5971
71.0 IPS |
|
|
Face Detection (Q)
|
100% |
3439
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6002
46.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11589
89.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7942
62.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18376
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
29441
37.8 IPS |
|
|
Style Transfer (Q)
|
96% |
24232
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3997
147.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5321
196.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3867
142.8 IPS |
|
|
Text Classification (SP)
|
100% |
2688
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4817
6.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4847
6.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3492
60.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6677
115.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6676
115.4 IPS |
