iPhone 14 Pro
Geekbench AI Score
3527
Single Precision Score
6204
Half Precision Score
5032
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 10 2025 02:24 AM |
| Views | 8 |
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% |
1428
265.5 IPS |
|
|
Image Classification (HP)
|
100% |
2560
476.2 IPS |
|
|
Image Classification (Q)
|
96% |
1761
328.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1461
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2189
35.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2626
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6609
7.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
15010
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12853
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1570
124.5 IPS |
|
|
Object Detection (HP)
|
97% |
2889
230.0 IPS |
|
|
Object Detection (Q)
|
94% |
2054
163.7 IPS |
|
|
Face Detection (SP)
|
100% |
3085
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
5997
71.3 IPS |
|
|
Face Detection (Q)
|
100% |
3449
41.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5974
46.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11623
89.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7937
62.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18513
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
29573
38.0 IPS |
|
|
Style Transfer (Q)
|
96% |
24292
31.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4073
150.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5177
191.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3893
143.8 IPS |
|
|
Text Classification (SP)
|
100% |
2760
3.68 KIPS |
|
|
Text Classification (HP)
|
100% |
4935
6.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4880
6.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3595
61.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6608
114.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6754
116.7 IPS |
