iPhone 16 Pro
Geekbench AI Score
4430
Single Precision Score
32670
Half Precision Score
46270
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 27 2024 06:50 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1993
370.6 IPS |
|
|
Image Classification (HP)
|
100% |
15360
2.86 KIPS |
|
|
Image Classification (Q)
|
97% |
20733
3.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1916
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18242
295.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24156
391.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8367
9.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
146760
171.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
292493
342.8 IPS |
|
|
Object Detection (SP)
|
100% |
2114
167.7 IPS |
|
|
Object Detection (HP)
|
100% |
16216
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22224
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
3548
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
41222
489.8 IPS |
|
|
Face Detection (Q)
|
100% |
58612
696.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7515
57.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
95310
734.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
162923
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
23045
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
244099
313.8 IPS |
|
|
Style Transfer (Q)
|
96% |
300725
388.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5462
201.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49983
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84053
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3434
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4484
5.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5015
6.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3744
64.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9666
166.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11414
197.3 IPS |
