iPhone 16 Pro
Geekbench AI Score
5793
Single Precision Score
6722
Half Precision Score
6072
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | January 12 2025 11:28 AM |
| Views | 3 |
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% |
2948
548.3 IPS |
|
|
Image Classification (HP)
|
100% |
2582
480.2 IPS |
|
|
Image Classification (Q)
|
97% |
2786
520.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3546
57.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4447
72.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4366
70.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15615
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16414
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15751
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
3121
247.6 IPS |
|
|
Object Detection (HP)
|
100% |
3442
273.0 IPS |
|
|
Object Detection (Q)
|
91% |
2802
223.9 IPS |
|
|
Face Detection (SP)
|
100% |
7969
94.7 IPS |
|
|
Face Detection (HP)
|
100% |
11018
130.9 IPS |
|
|
Face Detection (Q)
|
100% |
7750
92.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
14004
107.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
15091
116.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
12133
94.8 IPS |
|
|
Style Transfer (SP)
|
100% |
32875
42.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38490
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
37364
48.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7972
294.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8451
312.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6883
254.2 IPS |
|
|
Text Classification (SP)
|
100% |
3407
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5934
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5879
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
839
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
906
15.6 IPS |
|
|
Machine Translation (Q)
|
98% |
894
15.5 IPS |
