iPhone 16 Pro
Geekbench AI Score
4497
Single Precision Score
7729
Half Precision Score
6146
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 07 2025 11:24 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% |
2029
377.4 IPS |
|
|
Image Classification (HP)
|
100% |
3369
626.6 IPS |
|
|
Image Classification (Q)
|
96% |
2279
425.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1935
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2934
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3350
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8634
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17784
20.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15145
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2139
169.7 IPS |
|
|
Object Detection (HP)
|
97% |
3799
302.4 IPS |
|
|
Object Detection (Q)
|
94% |
2652
211.4 IPS |
|
|
Face Detection (SP)
|
100% |
3555
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
7428
88.3 IPS |
|
|
Face Detection (Q)
|
100% |
4161
49.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7639
58.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14150
109.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9738
76.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23943
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37382
48.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30410
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5541
204.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6885
254.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4902
181.0 IPS |
|
|
Text Classification (SP)
|
100% |
3420
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5909
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5867
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3793
65.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7127
123.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7088
122.5 IPS |
