iPhone 16 Pro
Geekbench AI Score
4543
Single Precision Score
32404
Half Precision Score
45326
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 27 2024 06:54 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
2041
379.6 IPS |
|
|
Image Classification (HP)
|
100% |
15201
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
20353
3.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1942
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18115
293.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24043
389.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8788
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
151508
176.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
292218
342.5 IPS |
|
|
Object Detection (SP)
|
100% |
2163
171.6 IPS |
|
|
Object Detection (HP)
|
100% |
15997
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
22227
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
3637
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
41126
488.7 IPS |
|
|
Face Detection (Q)
|
100% |
57614
684.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7722
59.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
94533
728.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
158553
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
24057
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
243861
313.5 IPS |
|
|
Style Transfer (Q)
|
96% |
299314
386.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5699
210.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49413
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83132
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3354
4.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4342
5.80 KIPS |
|
|
Text Classification (Q)
|
93% |
4532
6.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3852
66.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9405
162.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11179
193.2 IPS |
