iPhone 16 Pro
Geekbench AI Score
4561
Single Precision Score
7780
Half Precision Score
6223
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | iKayla |
| Upload Date | February 28 2025 02:40 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2018
375.3 IPS |
|
|
Image Classification (HP)
|
100% |
3401
632.5 IPS |
|
|
Image Classification (Q)
|
96% |
2282
426.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1946
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2937
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3358
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8866
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17983
21.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15561
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2170
172.1 IPS |
|
|
Object Detection (HP)
|
97% |
3847
306.3 IPS |
|
|
Object Detection (Q)
|
94% |
2686
214.1 IPS |
|
|
Face Detection (SP)
|
100% |
3667
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
7535
89.5 IPS |
|
|
Face Detection (Q)
|
100% |
4253
50.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7801
60.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14050
108.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9895
77.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24101
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37761
48.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30893
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5666
209.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6911
255.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4992
184.3 IPS |
|
|
Text Classification (SP)
|
100% |
3427
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5973
7.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5916
7.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3853
66.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7132
123.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7093
122.6 IPS |
