iPhone 16
Geekbench AI Score
1944
Single Precision Score
3199
Half Precision Score
2515
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 24 2025 11:06 AM |
| Views | 6 |
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% |
861
160.1 IPS |
|
|
Image Classification (HP)
|
100% |
1333
247.9 IPS |
|
|
Image Classification (Q)
|
96% |
872
162.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
788
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1251
20.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1348
21.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4070
4.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
8184
9.55 IPS |
|
|
Pose Estimation (Q)
|
95% |
6935
8.13 IPS |
|
|
Object Detection (SP)
|
100% |
1017
80.6 IPS |
|
|
Object Detection (HP)
|
97% |
1602
127.6 IPS |
|
|
Object Detection (Q)
|
94% |
1120
89.3 IPS |
|
|
Face Detection (SP)
|
100% |
1562
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
3012
35.8 IPS |
|
|
Face Detection (Q)
|
100% |
1665
19.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3587
27.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
6115
47.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
4233
33.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8875
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
16032
20.6 IPS |
|
|
Style Transfer (Q)
|
96% |
13099
16.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2598
95.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3050
112.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2138
78.9 IPS |
|
|
Text Classification (SP)
|
100% |
1383
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
2421
3.23 KIPS |
|
|
Text Classification (Q)
|
93% |
2414
3.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1540
26.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2359
40.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2330
40.3 IPS |
