iPhone 16 Pro
Geekbench AI Score
5831
Single Precision Score
6737
Half Precision Score
6125
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | sth519 |
| Upload Date | April 01 2025 01:37 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3022
562.1 IPS |
|
|
Image Classification (HP)
|
100% |
2677
497.9 IPS |
|
|
Image Classification (Q)
|
97% |
2819
526.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3529
57.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4443
72.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4387
71.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15824
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
16573
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15644
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
3241
257.0 IPS |
|
|
Object Detection (HP)
|
100% |
3591
284.8 IPS |
|
|
Object Detection (Q)
|
91% |
3132
250.3 IPS |
|
|
Face Detection (SP)
|
100% |
8012
95.2 IPS |
|
|
Face Detection (HP)
|
100% |
10704
127.2 IPS |
|
|
Face Detection (Q)
|
100% |
7215
85.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13492
103.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
14464
111.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
12567
98.2 IPS |
|
|
Style Transfer (SP)
|
100% |
33402
42.9 IPS |
|
|
Style Transfer (HP)
|
100% |
39706
51.0 IPS |
|
|
Style Transfer (Q)
|
96% |
36408
47.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8112
299.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8396
310.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6797
251.0 IPS |
|
|
Text Classification (SP)
|
100% |
3424
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5837
7.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5827
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
829
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
904
15.6 IPS |
|
|
Machine Translation (Q)
|
98% |
938
16.2 IPS |
