iPhone 16
Geekbench AI Score
4245
Single Precision Score
7266
Half Precision Score
5764
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Degeho |
| Upload Date | September 12 2025 06:15 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1988
369.7 IPS |
|
|
Image Classification (HP)
|
100% |
3229
600.5 IPS |
|
|
Image Classification (Q)
|
96% |
2202
411.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1770
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2811
45.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3115
50.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8124
9.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
16694
19.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14067
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
2220
176.1 IPS |
|
|
Object Detection (HP)
|
97% |
3644
290.1 IPS |
|
|
Object Detection (Q)
|
94% |
2509
200.0 IPS |
|
|
Face Detection (SP)
|
100% |
3400
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
6467
76.8 IPS |
|
|
Face Detection (Q)
|
100% |
3783
45.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7574
58.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13218
102.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9070
70.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17589
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35044
45.1 IPS |
|
|
Style Transfer (Q)
|
96% |
28202
36.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4825
178.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6948
256.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4889
180.5 IPS |
|
|
Text Classification (SP)
|
100% |
3445
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
6136
8.19 KIPS |
|
|
Text Classification (Q)
|
93% |
6080
8.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3980
68.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5824
100.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5819
100.6 IPS |
