iPhone 16 Pro
Geekbench AI Score
4609
Single Precision Score
7805
Half Precision Score
6199
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 15 2025 10:42 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
2061
383.3 IPS |
|
|
Image Classification (HP)
|
100% |
3398
632.0 IPS |
|
|
Image Classification (Q)
|
96% |
2276
425.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2011
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2854
46.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3324
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9096
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18019
21.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15309
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2337
185.4 IPS |
|
|
Object Detection (HP)
|
97% |
3811
303.4 IPS |
|
|
Object Detection (Q)
|
94% |
2672
213.0 IPS |
|
|
Face Detection (SP)
|
100% |
3851
45.8 IPS |
|
|
Face Detection (HP)
|
100% |
7567
89.9 IPS |
|
|
Face Detection (Q)
|
100% |
4083
48.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8178
63.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14003
108.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9681
75.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20361
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37416
48.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30775
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5335
197.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7305
269.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5109
188.6 IPS |
|
|
Text Classification (SP)
|
100% |
3387
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5935
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5874
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
4242
73.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7338
126.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7429
128.4 IPS |
