iPhone 16 Plus
Geekbench AI Score
4211
Single Precision Score
7227
Half Precision Score
5722
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 01:34 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2027
377.0 IPS |
|
|
Image Classification (HP)
|
100% |
3218
598.4 IPS |
|
|
Image Classification (Q)
|
96% |
2126
397.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1759
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2803
45.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3208
52.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8283
9.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
16704
19.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13912
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
2189
173.7 IPS |
|
|
Object Detection (HP)
|
97% |
3589
285.8 IPS |
|
|
Object Detection (Q)
|
94% |
2499
199.2 IPS |
|
|
Face Detection (SP)
|
100% |
3370
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
6584
78.2 IPS |
|
|
Face Detection (Q)
|
100% |
3691
43.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7455
57.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
12859
99.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
8875
69.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17491
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
34287
44.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27709
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4691
173.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6997
258.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4835
178.5 IPS |
|
|
Text Classification (SP)
|
100% |
3392
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
5939
7.93 KIPS |
|
|
Text Classification (Q)
|
93% |
6067
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3886
66.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5962
103.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5970
103.2 IPS |
