iPhone 16 Pro
Geekbench AI Score
5787
Single Precision Score
6665
Half Precision Score
6072
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | February 18 2025 05:35 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
2994
556.8 IPS |
|
|
Image Classification (HP)
|
100% |
2472
459.7 IPS |
|
|
Image Classification (Q)
|
97% |
2790
520.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3533
57.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4429
71.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4389
71.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15662
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16422
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15710
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
3316
263.0 IPS |
|
|
Object Detection (HP)
|
100% |
3527
279.8 IPS |
|
|
Object Detection (Q)
|
91% |
2811
224.6 IPS |
|
|
Face Detection (SP)
|
100% |
8030
95.4 IPS |
|
|
Face Detection (HP)
|
100% |
10780
128.1 IPS |
|
|
Face Detection (Q)
|
100% |
7671
91.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13951
107.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
15133
116.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
12551
98.1 IPS |
|
|
Style Transfer (SP)
|
100% |
32983
42.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38976
50.1 IPS |
|
|
Style Transfer (Q)
|
96% |
37088
47.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8037
296.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8378
309.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7068
261.0 IPS |
|
|
Text Classification (SP)
|
100% |
3435
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5968
7.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5914
7.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
752
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
859
14.8 IPS |
|
|
Machine Translation (Q)
|
98% |
845
14.6 IPS |
