iPhone 16 Pro
Geekbench AI Score
4705
Single Precision Score
7952
Half Precision Score
6308
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | eahyndman3 |
| Upload Date | May 26 2025 01:50 AM |
| Views | 7 |
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% |
2098
390.2 IPS |
|
|
Image Classification (HP)
|
100% |
3375
627.7 IPS |
|
|
Image Classification (Q)
|
96% |
2271
424.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2042
33.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2928
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3353
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9440
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18679
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15827
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
2337
185.3 IPS |
|
|
Object Detection (HP)
|
97% |
3829
304.8 IPS |
|
|
Object Detection (Q)
|
94% |
2678
213.4 IPS |
|
|
Face Detection (SP)
|
100% |
3975
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
7661
91.0 IPS |
|
|
Face Detection (Q)
|
100% |
4257
50.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8167
62.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14383
111.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9960
77.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21024
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38261
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31244
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5560
205.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7486
276.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5236
193.3 IPS |
|
|
Text Classification (SP)
|
100% |
3454
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
6079
8.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5950
7.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
4292
73.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7460
128.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7498
129.6 IPS |
