iPhone 16 Pro
Geekbench AI Score
5642
Single Precision Score
6605
Half Precision Score
6037
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | danielmcfarland |
| Upload Date | December 27 2024 03:38 PM |
| Views | 7 |
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% |
3193
593.8 IPS |
|
|
Image Classification (HP)
|
100% |
3670
682.5 IPS |
|
|
Image Classification (Q)
|
97% |
2958
552.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3549
57.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4461
72.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4462
72.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12275
14.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
13045
15.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13139
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
3012
238.9 IPS |
|
|
Object Detection (HP)
|
100% |
3069
243.5 IPS |
|
|
Object Detection (Q)
|
91% |
2806
224.2 IPS |
|
|
Face Detection (SP)
|
100% |
7912
94.0 IPS |
|
|
Face Detection (HP)
|
100% |
10793
128.2 IPS |
|
|
Face Detection (Q)
|
100% |
7256
86.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13366
103.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
14455
111.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
12619
98.6 IPS |
|
|
Style Transfer (SP)
|
100% |
32507
41.8 IPS |
|
|
Style Transfer (HP)
|
100% |
31858
41.0 IPS |
|
|
Style Transfer (Q)
|
96% |
36720
47.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8136
300.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8504
314.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6774
250.1 IPS |
|
|
Text Classification (SP)
|
100% |
3415
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
6050
8.08 KIPS |
|
|
Text Classification (Q)
|
93% |
6016
8.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
817
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
944
16.3 IPS |
|
|
Machine Translation (Q)
|
98% |
965
16.7 IPS |
