iPhone 16 Pro
Geekbench AI Score
4453
Single Precision Score
7666
Half Precision Score
6109
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 27 2024 06:46 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
2020
375.6 IPS |
|
|
Image Classification (HP)
|
100% |
3391
630.6 IPS |
|
|
Image Classification (Q)
|
96% |
2274
424.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1943
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2928
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3359
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8739
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17739
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14996
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2121
168.2 IPS |
|
|
Object Detection (HP)
|
97% |
3764
299.6 IPS |
|
|
Object Detection (Q)
|
94% |
2629
209.5 IPS |
|
|
Face Detection (SP)
|
100% |
3401
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
7348
87.3 IPS |
|
|
Face Detection (Q)
|
100% |
4124
49.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7486
57.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13780
106.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9532
74.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23377
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
36922
47.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29987
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5513
203.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6862
253.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4897
180.8 IPS |
|
|
Text Classification (SP)
|
100% |
3434
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5914
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5968
8.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3740
64.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6971
120.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6986
120.7 IPS |
