iPhone 16 Pro
Geekbench AI Score
4649
Single Precision Score
7899
Half Precision Score
6290
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | asymptotepmo |
| Upload Date | September 08 2025 11:07 AM |
| Views | 6 |
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% |
2065
383.9 IPS |
|
|
Image Classification (HP)
|
100% |
3395
631.4 IPS |
|
|
Image Classification (Q)
|
96% |
2291
427.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2035
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2953
47.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3374
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9134
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18282
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15377
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2343
185.8 IPS |
|
|
Object Detection (HP)
|
97% |
3803
302.7 IPS |
|
|
Object Detection (Q)
|
94% |
2651
211.3 IPS |
|
|
Face Detection (SP)
|
100% |
3880
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
7528
89.5 IPS |
|
|
Face Detection (Q)
|
100% |
4211
50.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8218
63.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14180
109.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9926
77.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20433
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37449
48.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31136
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5218
192.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7242
267.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5044
186.3 IPS |
|
|
Text Classification (SP)
|
100% |
3475
4.64 KIPS |
|
|
Text Classification (HP)
|
100% |
6160
8.22 KIPS |
|
|
Text Classification (Q)
|
93% |
6142
8.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
4440
76.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7608
131.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7642
132.1 IPS |
