iPhone 16 Pro
Geekbench AI Score
4406
Single Precision Score
7567
Half Precision Score
6083
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 07 2025 11:29 AM |
| 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% |
2007
373.3 IPS |
|
|
Image Classification (HP)
|
100% |
3380
628.5 IPS |
|
|
Image Classification (Q)
|
96% |
2254
420.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1926
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2908
47.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3370
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8377
9.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
17129
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14840
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2112
167.5 IPS |
|
|
Object Detection (HP)
|
97% |
3756
299.1 IPS |
|
|
Object Detection (Q)
|
94% |
2630
209.6 IPS |
|
|
Face Detection (SP)
|
100% |
3536
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
7299
86.7 IPS |
|
|
Face Detection (Q)
|
100% |
4127
49.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7408
57.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13873
107.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9673
75.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23026
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35860
46.1 IPS |
|
|
Style Transfer (Q)
|
96% |
29957
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5260
194.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6675
246.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4841
178.8 IPS |
|
|
Text Classification (SP)
|
100% |
3421
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5843
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5845
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3722
64.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6873
118.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6926
119.7 IPS |
