iPhone 14 Pro
Geekbench AI Score
3502
Single Precision Score
6175
Half Precision Score
5007
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | iPhil |
| Upload Date | March 22 2025 02:10 PM |
| Views | 3 |
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% |
1433
266.5 IPS |
|
|
Image Classification (HP)
|
100% |
2545
473.3 IPS |
|
|
Image Classification (Q)
|
96% |
1742
325.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1416
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2113
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2629
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6701
7.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
15207
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12845
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1566
124.2 IPS |
|
|
Object Detection (HP)
|
97% |
2908
231.5 IPS |
|
|
Object Detection (Q)
|
94% |
2063
164.5 IPS |
|
|
Face Detection (SP)
|
100% |
3034
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
6005
71.4 IPS |
|
|
Face Detection (Q)
|
100% |
3452
41.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5992
46.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11520
89.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7940
62.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18537
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
29582
38.0 IPS |
|
|
Style Transfer (Q)
|
96% |
24352
31.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4050
149.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5138
189.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3849
142.1 IPS |
|
|
Text Classification (SP)
|
100% |
2678
3.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4796
6.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4731
6.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3565
61.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6725
116.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6714
116.0 IPS |
