iPhone 16 Plus
Geekbench AI Score
4323
Single Precision Score
7450
Half Precision Score
5940
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Sean233 |
| Upload Date | March 28 2025 11:42 AM |
| Views | 15 |
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% |
2009
373.6 IPS |
|
|
Image Classification (HP)
|
100% |
3232
601.1 IPS |
|
|
Image Classification (Q)
|
96% |
2204
411.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1809
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2814
45.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3230
52.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8412
9.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
17346
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14686
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2277
180.6 IPS |
|
|
Object Detection (HP)
|
97% |
3718
296.0 IPS |
|
|
Object Detection (Q)
|
94% |
2606
207.8 IPS |
|
|
Face Detection (SP)
|
100% |
3505
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
6814
81.0 IPS |
|
|
Face Detection (Q)
|
100% |
3929
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7791
60.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14057
108.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9584
74.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18172
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
36293
46.7 IPS |
|
|
Style Transfer (Q)
|
96% |
29788
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4958
183.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7115
262.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4953
182.9 IPS |
|
|
Text Classification (SP)
|
100% |
3383
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
6000
8.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5973
8.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3935
67.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6052
104.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6055
104.6 IPS |
