iPhone 16 Pro
Geekbench AI Score
5809
Single Precision Score
6803
Half Precision Score
6038
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | aIpaca |
| Upload Date | February 11 2025 06:53 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
2966
551.6 IPS |
|
|
Image Classification (HP)
|
100% |
2624
487.9 IPS |
|
|
Image Classification (Q)
|
97% |
2870
535.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3471
56.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4426
71.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4377
71.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15768
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16550
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15638
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
3266
259.1 IPS |
|
|
Object Detection (HP)
|
100% |
3487
276.6 IPS |
|
|
Object Detection (Q)
|
91% |
2847
227.5 IPS |
|
|
Face Detection (SP)
|
100% |
7916
94.1 IPS |
|
|
Face Detection (HP)
|
100% |
10775
128.0 IPS |
|
|
Face Detection (Q)
|
100% |
7193
85.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13480
103.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
14495
111.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
12563
98.2 IPS |
|
|
Style Transfer (SP)
|
100% |
33103
42.6 IPS |
|
|
Style Transfer (HP)
|
100% |
39692
51.0 IPS |
|
|
Style Transfer (Q)
|
96% |
35851
46.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8078
298.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8461
312.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6892
254.5 IPS |
|
|
Text Classification (SP)
|
100% |
3419
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5887
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5844
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
847
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1026
17.7 IPS |
|
|
Machine Translation (Q)
|
98% |
884
15.3 IPS |
