iPhone 16
Geekbench AI Score
3917
Single Precision Score
6234
Half Precision Score
5211
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 02 2025 09:53 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
2000
371.9 IPS |
|
|
Image Classification (HP)
|
100% |
3233
601.3 IPS |
|
|
Image Classification (Q)
|
96% |
2203
411.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1768
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2801
45.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3201
51.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8309
9.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
17297
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14862
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2223
176.4 IPS |
|
|
Object Detection (HP)
|
97% |
3699
294.5 IPS |
|
|
Object Detection (Q)
|
94% |
2580
205.6 IPS |
|
|
Face Detection (SP)
|
100% |
3493
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
6862
81.5 IPS |
|
|
Face Detection (Q)
|
100% |
3922
46.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7715
59.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13841
107.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
8492
66.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14829
19.1 IPS |
|
|
Style Transfer (HP)
|
100% |
30411
39.1 IPS |
|
|
Style Transfer (Q)
|
96% |
24410
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4497
166.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3468
128.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2618
96.7 IPS |
|
|
Text Classification (SP)
|
100% |
3166
4.23 KIPS |
|
|
Text Classification (HP)
|
100% |
3176
4.24 KIPS |
|
|
Text Classification (Q)
|
93% |
5293
7.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2289
39.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4815
83.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4856
83.9 IPS |
