iPhone 16
Geekbench AI Score
4407
Single Precision Score
4866
Half Precision Score
4862
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Ggallyup |
| Upload Date | June 11 2025 01:04 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
738
137.3 IPS |
|
|
Image Classification (HP)
|
100% |
824
153.3 IPS |
|
|
Image Classification (Q)
|
96% |
924
172.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3229
52.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3821
61.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3838
62.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13539
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
13888
16.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
13803
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
2127
168.7 IPS |
|
|
Object Detection (HP)
|
100% |
1636
129.8 IPS |
|
|
Object Detection (Q)
|
92% |
1981
158.1 IPS |
|
|
Face Detection (SP)
|
100% |
7024
83.5 IPS |
|
|
Face Detection (HP)
|
100% |
8897
105.7 IPS |
|
|
Face Detection (Q)
|
100% |
7229
85.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11535
88.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
11683
90.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
11275
88.1 IPS |
|
|
Style Transfer (SP)
|
100% |
29690
38.2 IPS |
|
|
Style Transfer (HP)
|
100% |
31562
40.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31529
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4751
175.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4540
167.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4360
161.0 IPS |
|
|
Text Classification (SP)
|
100% |
3387
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5982
7.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5956
7.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
1041
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1170
20.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1141
19.7 IPS |
