iPhone 16
Geekbench AI Score
4456
Single Precision Score
4873
Half Precision Score
4790
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | felixalex2025 |
| Upload Date | June 02 2025 04:29 AM |
| Views | 5 |
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% |
846
157.3 IPS |
|
|
Image Classification (HP)
|
100% |
820
152.4 IPS |
|
|
Image Classification (Q)
|
96% |
974
181.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3910
63.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4041
65.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3742
60.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13535
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
13832
16.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
13761
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
2102
166.7 IPS |
|
|
Object Detection (HP)
|
100% |
1571
124.6 IPS |
|
|
Object Detection (Q)
|
92% |
1574
125.6 IPS |
|
|
Face Detection (SP)
|
100% |
7155
85.0 IPS |
|
|
Face Detection (HP)
|
100% |
9208
109.4 IPS |
|
|
Face Detection (Q)
|
100% |
7342
87.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11521
88.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
11686
90.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
11253
87.9 IPS |
|
|
Style Transfer (SP)
|
100% |
29683
38.2 IPS |
|
|
Style Transfer (HP)
|
100% |
31483
40.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31755
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3780
139.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4498
166.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4425
163.4 IPS |
|
|
Text Classification (SP)
|
100% |
3378
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5968
7.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5962
8.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1052
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1154
19.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1164
20.1 IPS |
