iPhone 16 Pro
Geekbench AI Score
5830
Single Precision Score
6716
Half Precision Score
6075
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 04 2025 12:49 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
2995
557.1 IPS |
|
|
Image Classification (HP)
|
100% |
2615
486.2 IPS |
|
|
Image Classification (Q)
|
97% |
2805
523.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3541
57.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4410
71.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4418
71.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15777
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16469
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15625
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
3215
255.0 IPS |
|
|
Object Detection (HP)
|
100% |
3477
275.8 IPS |
|
|
Object Detection (Q)
|
91% |
3117
249.1 IPS |
|
|
Face Detection (SP)
|
100% |
8083
96.0 IPS |
|
|
Face Detection (HP)
|
100% |
10748
127.7 IPS |
|
|
Face Detection (Q)
|
100% |
7182
85.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13457
103.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
14367
110.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
12308
96.2 IPS |
|
|
Style Transfer (SP)
|
100% |
33097
42.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39665
51.0 IPS |
|
|
Style Transfer (Q)
|
96% |
35667
46.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8099
299.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8395
310.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6881
254.1 IPS |
|
|
Text Classification (SP)
|
100% |
3417
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5852
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5805
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
847
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
940
16.2 IPS |
|
|
Machine Translation (Q)
|
98% |
902
15.6 IPS |
