iPhone 16 Pro
Geekbench AI Score
5782
Single Precision Score
6796
Half Precision Score
5929
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | xilvar |
| Upload Date | December 22 2024 01:35 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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 | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2923
543.5 IPS |
|
|
Image Classification (HP)
|
100% |
2931
545.1 IPS |
|
|
Image Classification (Q)
|
97% |
2785
519.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3466
56.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4409
71.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4378
71.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15702
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16437
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15524
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
3078
244.2 IPS |
|
|
Object Detection (HP)
|
100% |
3693
292.9 IPS |
|
|
Object Detection (Q)
|
91% |
2843
227.2 IPS |
|
|
Face Detection (SP)
|
100% |
7688
91.3 IPS |
|
|
Face Detection (HP)
|
100% |
10627
126.3 IPS |
|
|
Face Detection (Q)
|
100% |
7131
84.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13287
102.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
14211
109.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
12049
94.2 IPS |
|
|
Style Transfer (SP)
|
100% |
32890
42.3 IPS |
|
|
Style Transfer (HP)
|
100% |
39584
50.9 IPS |
|
|
Style Transfer (Q)
|
96% |
36954
47.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8062
297.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8403
310.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6847
252.8 IPS |
|
|
Text Classification (SP)
|
100% |
3449
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
6030
8.05 KIPS |
|
|
Text Classification (Q)
|
93% |
5890
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
913
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
885
15.2 IPS |
|
|
Machine Translation (Q)
|
98% |
780
13.5 IPS |
