iPhone 16 Pro
Geekbench AI Score
4266
Single Precision Score
7546
Half Precision Score
5894
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | May 15 2025 04:50 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2060
383.0 IPS |
|
|
Image Classification (HP)
|
100% |
3346
622.3 IPS |
|
|
Image Classification (Q)
|
96% |
2235
417.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1934
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2843
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3118
50.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8246
9.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
16275
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13871
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
2221
176.1 IPS |
|
|
Object Detection (HP)
|
97% |
3743
298.0 IPS |
|
|
Object Detection (Q)
|
94% |
2512
200.2 IPS |
|
|
Face Detection (SP)
|
100% |
3661
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
7066
84.0 IPS |
|
|
Face Detection (Q)
|
100% |
3674
43.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7480
57.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13390
103.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9239
72.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18717
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35514
45.7 IPS |
|
|
Style Transfer (Q)
|
96% |
29125
37.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3827
141.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7052
260.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4864
179.6 IPS |
|
|
Text Classification (SP)
|
100% |
3393
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
5972
7.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5971
8.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
4116
70.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7309
126.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7259
125.4 IPS |
