iPhone 16
Geekbench AI Score
3375
Single Precision Score
28635
Half Precision Score
38278
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 13 2025 12:34 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1615
300.4 IPS |
|
|
Image Classification (HP)
|
100% |
12767
2.37 KIPS |
|
|
Image Classification (Q)
|
97% |
16325
3.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1016
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15171
245.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
19774
320.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7898
9.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
121633
141.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
233145
273.3 IPS |
|
|
Object Detection (SP)
|
100% |
1920
152.3 IPS |
|
|
Object Detection (HP)
|
100% |
13921
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
17641
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
2512
29.8 IPS |
|
|
Face Detection (HP)
|
100% |
33151
393.9 IPS |
|
|
Face Detection (Q)
|
100% |
42876
509.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6712
51.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
84525
651.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
136749
1.07 KIPS |
|
|
Style Transfer (SP)
|
100% |
18117
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
203811
262.0 IPS |
|
|
Style Transfer (Q)
|
96% |
250742
323.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4761
175.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41852
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
67835
2.50 KIPS |
|
|
Text Classification (SP)
|
100% |
2529
3.38 KIPS |
|
|
Text Classification (HP)
|
100% |
4418
5.90 KIPS |
|
|
Text Classification (Q)
|
93% |
4388
5.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
2096
36.1 IPS |
|
|
Machine Translation (HP)
|
100% |
10704
184.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11625
200.9 IPS |
