iPhone 14 Pro
Geekbench AI Score
3459
Single Precision Score
6147
Half Precision Score
4980
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 10 2025 02:26 AM |
| Views | 11 |
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% |
1392
258.9 IPS |
|
|
Image Classification (HP)
|
100% |
2570
477.9 IPS |
|
|
Image Classification (Q)
|
96% |
1721
321.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1410
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2162
35.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2645
42.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6353
7.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
14959
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12615
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1557
123.5 IPS |
|
|
Object Detection (HP)
|
97% |
2904
231.2 IPS |
|
|
Object Detection (Q)
|
94% |
2059
164.1 IPS |
|
|
Face Detection (SP)
|
100% |
3106
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
5941
70.6 IPS |
|
|
Face Detection (Q)
|
100% |
3425
40.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6000
46.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11427
88.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7941
62.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18156
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
29383
37.8 IPS |
|
|
Style Transfer (Q)
|
96% |
24051
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4015
148.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5161
190.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3873
143.0 IPS |
|
|
Text Classification (SP)
|
100% |
2695
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
4814
6.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4765
6.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3456
59.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6440
111.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6575
113.6 IPS |
