iPhone 16 Pro
Geekbench AI Score
3733
Single Precision Score
27161
Half Precision Score
36991
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Meandro |
| Upload Date | October 01 2025 05:26 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1685
313.3 IPS |
|
|
Image Classification (HP)
|
100% |
13016
2.42 KIPS |
|
|
Image Classification (Q)
|
97% |
16667
3.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1554
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14416
233.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
20753
336.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8270
9.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
98277
114.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
195429
229.1 IPS |
|
|
Object Detection (SP)
|
100% |
1960
155.5 IPS |
|
|
Object Detection (HP)
|
100% |
14030
1.11 KIPS |
|
|
Object Detection (Q)
|
91% |
17441
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
2554
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
30341
360.5 IPS |
|
|
Face Detection (Q)
|
100% |
41495
493.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6860
52.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
78708
606.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
131030
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
19644
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
181191
232.9 IPS |
|
|
Style Transfer (Q)
|
96% |
216634
279.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4877
180.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41231
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
67216
2.48 KIPS |
|
|
Text Classification (SP)
|
100% |
3073
4.10 KIPS |
|
|
Text Classification (HP)
|
99% |
5372
7.17 KIPS |
|
|
Text Classification (Q)
|
93% |
5235
7.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2405
41.4 IPS |
|
|
Machine Translation (HP)
|
100% |
8814
151.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9818
169.7 IPS |
