iPhone 16 Pro
Geekbench AI Score
4647
Single Precision Score
7852
Half Precision Score
6275
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 03:11 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
2037
378.9 IPS |
|
|
Image Classification (HP)
|
100% |
3384
629.2 IPS |
|
|
Image Classification (Q)
|
96% |
2291
427.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1979
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2935
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3392
55.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9284
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18656
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16021
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
2181
173.0 IPS |
|
|
Object Detection (HP)
|
97% |
3840
305.7 IPS |
|
|
Object Detection (Q)
|
94% |
2692
214.5 IPS |
|
|
Face Detection (SP)
|
100% |
3709
44.1 IPS |
|
|
Face Detection (HP)
|
100% |
7657
91.0 IPS |
|
|
Face Detection (Q)
|
100% |
4323
51.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8043
62.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14534
112.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10094
78.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24958
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37858
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31279
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5828
215.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6972
257.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4992
184.3 IPS |
|
|
Text Classification (SP)
|
100% |
3421
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5985
7.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5821
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3883
66.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7125
123.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7124
123.1 IPS |
