iPhone 16 Pro
Geekbench AI Score
4598
Single Precision Score
32749
Half Precision Score
45339
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Pom2Ter |
| Upload Date | March 03 2025 09:58 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2076
386.1 IPS |
|
|
Image Classification (HP)
|
100% |
15110
2.81 KIPS |
|
|
Image Classification (Q)
|
97% |
20022
3.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2013
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18154
294.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24020
389.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8861
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
152632
178.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
292716
343.1 IPS |
|
|
Object Detection (SP)
|
100% |
2333
185.0 IPS |
|
|
Object Detection (HP)
|
100% |
16088
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22118
1.77 KIPS |
|
|
Face Detection (SP)
|
100% |
3965
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
41159
489.1 IPS |
|
|
Face Detection (Q)
|
100% |
56494
671.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8143
62.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
94604
728.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
160081
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
19686
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
244136
313.8 IPS |
|
|
Style Transfer (Q)
|
96% |
300465
387.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5446
201.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50269
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82589
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3306
4.41 KIPS |
|
|
Text Classification (HP)
|
100% |
4430
5.91 KIPS |
|
|
Text Classification (Q)
|
93% |
4856
6.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
4279
73.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9952
171.4 IPS |
|
|
Machine Translation (Q)
|
98% |
10819
187.0 IPS |
