iPhone 16
Geekbench AI Score
4222
Single Precision Score
7293
Half Precision Score
5658
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 16 2025 09:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPhone 16 |
| Model ID | iPhone17,3 |
| Motherboard | D47AP |
| CPU Information | |
|---|---|
| Name | Apple A18 |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2027
376.9 IPS |
|
|
Image Classification (HP)
|
100% |
3252
604.9 IPS |
|
|
Image Classification (Q)
|
96% |
2208
412.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1819
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2822
45.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3194
51.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8353
9.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
17013
19.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14273
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
2220
176.1 IPS |
|
|
Object Detection (HP)
|
97% |
3655
291.0 IPS |
|
|
Object Detection (Q)
|
94% |
2579
205.6 IPS |
|
|
Face Detection (SP)
|
100% |
3482
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
6673
79.3 IPS |
|
|
Face Detection (Q)
|
100% |
3502
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7520
57.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13304
102.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
8990
70.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16661
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
34910
44.9 IPS |
|
|
Style Transfer (Q)
|
96% |
28605
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4539
167.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7027
259.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4931
182.1 IPS |
|
|
Text Classification (SP)
|
100% |
3405
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
6008
8.02 KIPS |
|
|
Text Classification (Q)
|
93% |
6058
8.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3908
67.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5703
98.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4818
83.3 IPS |
