iPhone 16 Pro
Geekbench AI Score
5788
Single Precision Score
6930
Half Precision Score
6099
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | attibug |
| Upload Date | March 19 2025 02:52 AM |
| Views | 6 |
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% |
2856
531.2 IPS |
|
|
Image Classification (HP)
|
100% |
2667
495.9 IPS |
|
|
Image Classification (Q)
|
97% |
2824
527.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3504
56.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4453
72.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4423
71.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15769
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16347
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15553
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
3194
253.3 IPS |
|
|
Object Detection (HP)
|
100% |
3522
279.3 IPS |
|
|
Object Detection (Q)
|
91% |
2880
230.1 IPS |
|
|
Face Detection (SP)
|
100% |
8020
95.3 IPS |
|
|
Face Detection (HP)
|
100% |
10879
129.3 IPS |
|
|
Face Detection (Q)
|
100% |
7300
86.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13510
104.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14445
111.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
12640
98.8 IPS |
|
|
Style Transfer (SP)
|
100% |
32986
42.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39653
51.0 IPS |
|
|
Style Transfer (Q)
|
96% |
36534
47.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8114
299.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8420
310.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6889
254.4 IPS |
|
|
Text Classification (SP)
|
100% |
3422
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5915
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
6054
8.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
845
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1205
20.8 IPS |
|
|
Machine Translation (Q)
|
98% |
906
15.7 IPS |
