iPhone 16 Plus
Geekbench AI Score
4327
Single Precision Score
7445
Half Precision Score
5915
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 20 2025 03:08 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2022
376.0 IPS |
|
|
Image Classification (HP)
|
100% |
3234
601.3 IPS |
|
|
Image Classification (Q)
|
96% |
2200
410.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1820
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2805
45.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3239
52.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8633
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17772
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14707
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2261
179.3 IPS |
|
|
Object Detection (HP)
|
97% |
3714
295.6 IPS |
|
|
Object Detection (Q)
|
94% |
2592
206.6 IPS |
|
|
Face Detection (SP)
|
100% |
3516
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
6879
81.7 IPS |
|
|
Face Detection (Q)
|
100% |
3888
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7319
56.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13784
106.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9383
73.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18373
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37016
47.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30427
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5131
189.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7200
265.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5117
188.9 IPS |
|
|
Text Classification (SP)
|
100% |
3383
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5906
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5990
8.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3907
67.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5857
101.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5682
98.2 IPS |
