iPhone 16 Plus
Geekbench AI Score
4231
Single Precision Score
33571
Half Precision Score
46168
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | jacofaco |
| Upload Date | September 27 2025 05:19 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
2003
372.5 IPS |
|
|
Image Classification (HP)
|
100% |
15504
2.88 KIPS |
|
|
Image Classification (Q)
|
97% |
21184
3.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1780
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18131
293.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23748
385.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8091
9.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
147171
171.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
293239
343.7 IPS |
|
|
Object Detection (SP)
|
100% |
2249
178.4 IPS |
|
|
Object Detection (HP)
|
100% |
16579
1.32 KIPS |
|
|
Object Detection (Q)
|
91% |
23182
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
3411
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
41080
488.1 IPS |
|
|
Face Detection (Q)
|
100% |
56602
672.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7672
59.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
95806
738.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
161157
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
17394
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
244835
314.7 IPS |
|
|
Style Transfer (Q)
|
96% |
306310
395.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4695
173.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52490
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84532
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3396
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
5019
6.70 KIPS |
|
|
Text Classification (Q)
|
93% |
4666
6.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3907
67.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10444
179.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11674
201.7 IPS |
