iPhone 16 Pro
Geekbench AI Score
4829
Single Precision Score
33021
Half Precision Score
45596
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 06 2025 04:38 PM |
| Views | 2 |
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% |
2089
388.6 IPS |
|
|
Image Classification (HP)
|
100% |
15199
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
20104
3.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2019
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18326
297.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24022
389.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9989
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
153353
178.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
293235
343.7 IPS |
|
|
Object Detection (SP)
|
100% |
2401
190.4 IPS |
|
|
Object Detection (HP)
|
100% |
16386
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22848
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
4061
48.3 IPS |
|
|
Face Detection (HP)
|
100% |
40893
485.9 IPS |
|
|
Face Detection (Q)
|
100% |
57031
677.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8496
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
95317
734.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
159665
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
22152
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
244381
314.2 IPS |
|
|
Style Transfer (Q)
|
96% |
300332
387.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6062
223.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51172
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85471
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3393
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
4415
5.89 KIPS |
|
|
Text Classification (Q)
|
93% |
4379
5.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
4340
74.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10235
176.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11729
202.7 IPS |
