iPhone 16 Pro
Geekbench AI Score
3746
Single Precision Score
6413
Half Precision Score
5171
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 14 2025 12:43 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1657
308.1 IPS |
|
|
Image Classification (HP)
|
100% |
2732
508.1 IPS |
|
|
Image Classification (Q)
|
96% |
1828
341.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1556
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2369
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2676
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8277
9.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
15705
18.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13351
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1977
156.8 IPS |
|
|
Object Detection (HP)
|
97% |
3072
244.6 IPS |
|
|
Object Detection (Q)
|
94% |
2149
171.3 IPS |
|
|
Face Detection (SP)
|
100% |
2677
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
6087
72.3 IPS |
|
|
Face Detection (Q)
|
100% |
3444
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6872
52.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
11272
87.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
7894
61.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19969
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
30973
39.8 IPS |
|
|
Style Transfer (Q)
|
96% |
25293
32.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4918
181.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5863
216.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4119
152.1 IPS |
|
|
Text Classification (SP)
|
100% |
3051
4.07 KIPS |
|
|
Text Classification (HP)
|
99% |
5276
7.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5252
7.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
2340
40.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5739
99.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6549
113.2 IPS |
