iPhone 16 Pro
Geekbench AI Score
4644
Single Precision Score
33509
Half Precision Score
45874
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 12 2025 02:07 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2088
388.3 IPS |
|
|
Image Classification (HP)
|
100% |
15823
2.94 KIPS |
|
|
Image Classification (Q)
|
97% |
20725
3.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2013
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18321
297.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24264
393.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9228
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
152326
177.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
292245
342.5 IPS |
|
|
Object Detection (SP)
|
100% |
2359
187.1 IPS |
|
|
Object Detection (HP)
|
100% |
16664
1.32 KIPS |
|
|
Object Detection (Q)
|
91% |
22694
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3769
44.8 IPS |
|
|
Face Detection (HP)
|
100% |
41109
488.5 IPS |
|
|
Face Detection (Q)
|
100% |
57019
677.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8251
63.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
95599
736.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
160300
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
20454
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
245703
315.9 IPS |
|
|
Style Transfer (Q)
|
96% |
301008
388.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5515
203.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50306
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85874
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3396
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
4891
6.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4582
6.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
4287
73.9 IPS |
|
|
Machine Translation (HP)
|
100% |
10210
175.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11432
197.6 IPS |
