iPhone 16 Pro
Geekbench AI Score
5397
Single Precision Score
6026
Half Precision Score
5663
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 12 2025 04:44 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3041
565.6 IPS |
|
|
Image Classification (HP)
|
100% |
2809
522.3 IPS |
|
|
Image Classification (Q)
|
97% |
2912
543.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3532
57.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4447
72.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4425
71.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12874
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
13647
15.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12485
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
3405
270.0 IPS |
|
|
Object Detection (HP)
|
100% |
3455
274.1 IPS |
|
|
Object Detection (Q)
|
91% |
2687
214.7 IPS |
|
|
Face Detection (SP)
|
100% |
7557
89.8 IPS |
|
|
Face Detection (HP)
|
100% |
8863
105.3 IPS |
|
|
Face Detection (Q)
|
100% |
7209
85.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12587
97.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
12013
92.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
12706
99.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27580
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
28275
36.3 IPS |
|
|
Style Transfer (Q)
|
96% |
29845
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6214
229.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7626
281.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6179
228.1 IPS |
|
|
Text Classification (SP)
|
100% |
3407
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5851
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5823
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
802
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
799
13.8 IPS |
|
|
Machine Translation (Q)
|
98% |
799
13.8 IPS |
