iPhone 14 Pro
Geekbench AI Score
3533
Single Precision Score
6067
Half Precision Score
4929
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 01:18 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1445
268.7 IPS |
|
|
Image Classification (HP)
|
100% |
2513
467.3 IPS |
|
|
Image Classification (Q)
|
96% |
1740
325.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1450
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2144
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2684
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6893
8.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
15188
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12871
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1571
124.6 IPS |
|
|
Object Detection (HP)
|
97% |
2928
233.1 IPS |
|
|
Object Detection (Q)
|
94% |
2070
165.0 IPS |
|
|
Face Detection (SP)
|
100% |
3034
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
6060
72.0 IPS |
|
|
Face Detection (Q)
|
100% |
3480
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6219
47.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12232
94.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8287
64.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18775
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28197
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23681
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4160
153.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4919
181.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3677
135.8 IPS |
|
|
Text Classification (SP)
|
100% |
2627
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4673
6.24 KIPS |
|
|
Text Classification (Q)
|
93% |
4587
6.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3453
59.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5874
101.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5907
102.1 IPS |
