iPhone 16 Plus
Geekbench AI Score
4314
Single Precision Score
33819
Half Precision Score
45690
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 01 2025 03:33 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2024
376.4 IPS |
|
|
Image Classification (HP)
|
100% |
14648
2.72 KIPS |
|
|
Image Classification (Q)
|
97% |
19020
3.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1756
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18093
293.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23410
379.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8287
9.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
142383
166.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
288078
337.6 IPS |
|
|
Object Detection (SP)
|
100% |
2231
176.9 IPS |
|
|
Object Detection (HP)
|
100% |
15845
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
21365
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
3386
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
40169
477.3 IPS |
|
|
Face Detection (Q)
|
100% |
52306
621.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7457
57.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
93888
723.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
152190
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
19150
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
245023
315.0 IPS |
|
|
Style Transfer (Q)
|
96% |
296777
383.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5044
186.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50300
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76173
2.81 KIPS |
|
|
Text Classification (SP)
|
100% |
3583
4.78 KIPS |
|
|
Text Classification (HP)
|
99% |
5975
7.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5880
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3893
67.1 IPS |
|
|
Machine Translation (HP)
|
100% |
11787
203.0 IPS |
|
|
Machine Translation (Q)
|
98% |
13675
236.3 IPS |
