iPhone 16 Pro
Geekbench AI Score
4469
Single Precision Score
7741
Half Precision Score
6183
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | February 06 2025 05:51 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| Model | iPhone 16 Pro |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2031
377.7 IPS |
|
|
Image Classification (HP)
|
100% |
3350
622.9 IPS |
|
|
Image Classification (Q)
|
96% |
2279
425.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1933
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2911
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3338
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8706
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17849
20.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15251
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2069
164.1 IPS |
|
|
Object Detection (HP)
|
97% |
3781
301.0 IPS |
|
|
Object Detection (Q)
|
94% |
2665
212.4 IPS |
|
|
Face Detection (SP)
|
100% |
3541
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
7506
89.2 IPS |
|
|
Face Detection (Q)
|
100% |
4232
50.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7749
59.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14240
110.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9880
77.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24018
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37379
48.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30934
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5265
194.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6952
256.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4977
183.8 IPS |
|
|
Text Classification (SP)
|
100% |
3436
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5999
8.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5883
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3775
65.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7052
121.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6974
120.5 IPS |
