iPhone 16 Plus
Geekbench AI Score
4250
Single Precision Score
7319
Half Precision Score
5842
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 13 2025 04:02 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| Model | iPhone 16 Plus |
| Model ID | iPhone17,4 |
| Motherboard | D48AP |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2044
380.1 IPS |
|
|
Image Classification (HP)
|
100% |
3208
596.5 IPS |
|
|
Image Classification (Q)
|
96% |
2205
411.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1792
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2801
45.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3205
51.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8198
9.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
16937
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14114
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
2168
172.0 IPS |
|
|
Object Detection (HP)
|
97% |
3685
293.3 IPS |
|
|
Object Detection (Q)
|
94% |
2534
201.9 IPS |
|
|
Face Detection (SP)
|
100% |
3442
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
6629
78.8 IPS |
|
|
Face Detection (Q)
|
100% |
3808
45.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7514
57.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13182
101.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9188
71.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17763
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35580
45.7 IPS |
|
|
Style Transfer (Q)
|
96% |
28930
37.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4902
181.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7111
262.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4895
180.7 IPS |
|
|
Text Classification (SP)
|
100% |
3362
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
5930
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
6149
8.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3907
67.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6007
103.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6018
104.0 IPS |
