iPhone 14 Pro
Geekbench AI Score
3553
Single Precision Score
6062
Half Precision Score
4924
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 30 2024 11:13 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1401
260.5 IPS |
|
|
Image Classification (HP)
|
100% |
2522
469.0 IPS |
|
|
Image Classification (Q)
|
96% |
1726
322.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1433
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2158
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2686
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7139
8.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
15227
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13085
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1593
126.3 IPS |
|
|
Object Detection (HP)
|
97% |
2919
232.4 IPS |
|
|
Object Detection (Q)
|
94% |
2048
163.2 IPS |
|
|
Face Detection (SP)
|
100% |
3056
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
6069
72.1 IPS |
|
|
Face Detection (Q)
|
100% |
3493
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6255
48.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12150
93.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8242
64.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19025
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
28362
36.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23697
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4253
157.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4862
179.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3667
135.4 IPS |
|
|
Text Classification (SP)
|
100% |
2620
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4671
6.23 KIPS |
|
|
Text Classification (Q)
|
93% |
4598
6.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3470
59.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5841
100.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5865
101.4 IPS |
