iPhone 16 Pro
Geekbench AI Score
4553
Single Precision Score
7752
Half Precision Score
6168
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | eahyndman3 |
| Upload Date | August 24 2025 05:07 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2076
386.1 IPS |
|
|
Image Classification (HP)
|
100% |
3404
633.0 IPS |
|
|
Image Classification (Q)
|
96% |
2284
426.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1995
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2869
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3319
53.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9079
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17986
21.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14816
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2322
184.2 IPS |
|
|
Object Detection (HP)
|
97% |
3831
305.0 IPS |
|
|
Object Detection (Q)
|
94% |
2648
211.1 IPS |
|
|
Face Detection (SP)
|
100% |
3723
44.2 IPS |
|
|
Face Detection (HP)
|
100% |
7249
86.1 IPS |
|
|
Face Detection (Q)
|
100% |
4050
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8019
61.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14045
108.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9762
76.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20049
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37338
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30410
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5354
197.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7274
268.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5088
187.9 IPS |
|
|
Text Classification (SP)
|
100% |
3233
4.31 KIPS |
|
|
Text Classification (HP)
|
100% |
5915
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
6070
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
4241
73.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7128
123.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7226
124.9 IPS |
