iPhone 16
Geekbench AI Score
1916
Single Precision Score
3185
Half Precision Score
2494
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Wa_Alhazmi |
| Upload Date | December 17 2025 05:04 PM |
| Views | 10 |
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% |
856
159.3 IPS |
|
|
Image Classification (HP)
|
100% |
1332
247.8 IPS |
|
|
Image Classification (Q)
|
96% |
864
161.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
786
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1304
21.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1380
22.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3914
4.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
8144
9.50 IPS |
|
|
Pose Estimation (Q)
|
95% |
6934
8.13 IPS |
|
|
Object Detection (SP)
|
100% |
1022
81.1 IPS |
|
|
Object Detection (HP)
|
97% |
1612
128.3 IPS |
|
|
Object Detection (Q)
|
94% |
1117
89.1 IPS |
|
|
Face Detection (SP)
|
100% |
1532
18.2 IPS |
|
|
Face Detection (HP)
|
100% |
2971
35.3 IPS |
|
|
Face Detection (Q)
|
100% |
1643
19.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3632
28.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
6149
47.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
4244
33.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8871
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
16011
20.6 IPS |
|
|
Style Transfer (Q)
|
96% |
13078
16.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2619
96.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3026
111.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2127
78.6 IPS |
|
|
Text Classification (SP)
|
100% |
1384
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
2452
3.27 KIPS |
|
|
Text Classification (Q)
|
93% |
2435
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1390
23.9 IPS |
|
|
Machine Translation (HP)
|
98% |
2174
37.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2137
36.9 IPS |
