iPhone 16 Pro
Geekbench AI Score
4373
Single Precision Score
7641
Half Precision Score
6097
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | sw0000 |
| Upload Date | March 11 2025 03:05 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1665
309.7 IPS |
|
|
Image Classification (HP)
|
100% |
3371
626.9 IPS |
|
|
Image Classification (Q)
|
96% |
2286
426.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1943
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2914
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3351
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8435
9.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
17255
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14952
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2116
167.9 IPS |
|
|
Object Detection (HP)
|
97% |
3781
301.0 IPS |
|
|
Object Detection (Q)
|
94% |
2641
210.5 IPS |
|
|
Face Detection (SP)
|
100% |
3575
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
7434
88.3 IPS |
|
|
Face Detection (Q)
|
100% |
4141
49.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7496
57.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13969
108.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9692
75.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23214
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
36373
46.8 IPS |
|
|
Style Transfer (Q)
|
96% |
29779
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5449
201.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6873
253.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4843
178.8 IPS |
|
|
Text Classification (SP)
|
100% |
3419
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5842
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5805
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3822
65.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6984
120.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6989
120.8 IPS |
