iPhone 14 Pro
Geekbench AI Score
3457
Single Precision Score
6019
Half Precision Score
4862
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | christophostertag |
| Upload Date | March 15 2025 12:32 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1403
260.9 IPS |
|
|
Image Classification (HP)
|
100% |
2550
474.2 IPS |
|
|
Image Classification (Q)
|
96% |
1757
328.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1481
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2166
35.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2643
42.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6473
7.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
14402
16.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12287
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1541
122.3 IPS |
|
|
Object Detection (HP)
|
97% |
2909
231.6 IPS |
|
|
Object Detection (Q)
|
94% |
2037
162.3 IPS |
|
|
Face Detection (SP)
|
100% |
3040
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
6026
71.6 IPS |
|
|
Face Detection (Q)
|
100% |
3424
40.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5890
45.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12167
94.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8085
63.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17974
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
27734
35.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23044
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4024
148.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4856
179.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3640
134.4 IPS |
|
|
Text Classification (SP)
|
100% |
2626
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4754
6.34 KIPS |
|
|
Text Classification (Q)
|
93% |
4722
6.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3464
59.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5752
99.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5793
100.1 IPS |
