iPhone 16 Pro
Geekbench AI Score
4602
Single Precision Score
7817
Half Precision Score
6212
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 10:54 PM |
| Views | 1 |
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% |
2091
388.8 IPS |
|
|
Image Classification (HP)
|
100% |
3397
631.7 IPS |
|
|
Image Classification (Q)
|
96% |
2281
425.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1977
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2880
46.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3342
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9176
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18190
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15213
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2276
180.6 IPS |
|
|
Object Detection (HP)
|
97% |
3807
303.1 IPS |
|
|
Object Detection (Q)
|
94% |
2648
211.1 IPS |
|
|
Face Detection (SP)
|
100% |
3932
46.7 IPS |
|
|
Face Detection (HP)
|
100% |
7501
89.1 IPS |
|
|
Face Detection (Q)
|
100% |
4134
49.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8120
62.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14307
110.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9799
76.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20185
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37227
47.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30348
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5385
198.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7299
269.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5219
192.7 IPS |
|
|
Text Classification (SP)
|
100% |
3374
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5868
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5887
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
4221
72.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7358
127.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7383
127.6 IPS |
