iPhone 16
Geekbench AI Score
4139
Single Precision Score
33329
Half Precision Score
47049
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 03:04 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPhone 16 |
| Model ID | iPhone17,3 |
| Motherboard | D47AP |
| CPU Information | |
|---|---|
| Name | Apple A18 |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2019
375.5 IPS |
|
|
Image Classification (HP)
|
100% |
15175
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
23086
4.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1767
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18214
295.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23859
386.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7988
9.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
141195
164.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
287054
336.4 IPS |
|
|
Object Detection (SP)
|
100% |
2157
171.1 IPS |
|
|
Object Detection (HP)
|
100% |
16723
1.33 KIPS |
|
|
Object Detection (Q)
|
91% |
23471
1.88 KIPS |
|
|
Face Detection (SP)
|
100% |
3268
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
41146
488.9 IPS |
|
|
Face Detection (Q)
|
100% |
57991
689.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7132
54.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
95251
733.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
166028
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
16879
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
244575
314.4 IPS |
|
|
Style Transfer (Q)
|
96% |
304006
392.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4615
170.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50562
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86217
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3383
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5154
6.88 KIPS |
|
|
Text Classification (Q)
|
93% |
4933
6.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3909
67.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10376
178.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11506
198.8 IPS |
