iPhone 16 Plus
Geekbench AI Score
4349
Single Precision Score
7462
Half Precision Score
5979
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 13 2025 07:02 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1911
355.4 IPS |
|
|
Image Classification (HP)
|
100% |
3216
598.0 IPS |
|
|
Image Classification (Q)
|
96% |
2205
411.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1790
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2883
46.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3275
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8845
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18307
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15378
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2107
167.2 IPS |
|
|
Object Detection (HP)
|
97% |
3686
293.4 IPS |
|
|
Object Detection (Q)
|
94% |
2617
208.6 IPS |
|
|
Face Detection (SP)
|
100% |
3271
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
6867
81.6 IPS |
|
|
Face Detection (Q)
|
100% |
4040
48.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7608
58.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14028
108.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9753
76.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23045
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37085
47.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30360
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5423
200.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6789
250.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4835
178.5 IPS |
|
|
Text Classification (SP)
|
100% |
3439
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5968
7.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5905
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3555
61.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5914
102.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5890
101.8 IPS |
