iPhone 16 Pro
Geekbench AI Score
4676
Single Precision Score
33587
Half Precision Score
45239
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 13 2025 01:44 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2064
383.8 IPS |
|
|
Image Classification (HP)
|
100% |
14810
2.75 KIPS |
|
|
Image Classification (Q)
|
97% |
18933
3.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1843
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18079
293.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23664
383.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9211
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
152709
178.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
292459
342.8 IPS |
|
|
Object Detection (SP)
|
100% |
2354
186.8 IPS |
|
|
Object Detection (HP)
|
100% |
15632
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21381
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
3790
45.0 IPS |
|
|
Face Detection (HP)
|
100% |
39861
473.6 IPS |
|
|
Face Detection (Q)
|
100% |
53963
641.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8220
63.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
94121
725.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
150993
1.18 KIPS |
|
|
Style Transfer (SP)
|
100% |
22569
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
244978
314.9 IPS |
|
|
Style Transfer (Q)
|
96% |
296466
382.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5506
203.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52348
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80137
2.96 KIPS |
|
|
Text Classification (SP)
|
100% |
3714
4.96 KIPS |
|
|
Text Classification (HP)
|
99% |
6313
8.43 KIPS |
|
|
Text Classification (Q)
|
93% |
6247
8.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
4218
72.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9413
162.1 IPS |
|
|
Machine Translation (Q)
|
98% |
10598
183.1 IPS |
