iPhone 16 Plus
Geekbench AI Score
4509
Single Precision Score
4832
Half Precision Score
4890
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | gigac1 |
| Upload Date | April 03 2025 02:07 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
864
160.6 IPS |
|
|
Image Classification (HP)
|
100% |
836
155.5 IPS |
|
|
Image Classification (Q)
|
96% |
944
176.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3869
62.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3911
63.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3843
62.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13535
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
13889
16.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
13646
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1960
155.5 IPS |
|
|
Object Detection (HP)
|
100% |
1550
122.9 IPS |
|
|
Object Detection (Q)
|
92% |
1986
158.5 IPS |
|
|
Face Detection (SP)
|
100% |
6931
82.4 IPS |
|
|
Face Detection (HP)
|
100% |
9172
109.0 IPS |
|
|
Face Detection (Q)
|
100% |
7228
85.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11444
88.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
12341
95.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
11446
89.5 IPS |
|
|
Style Transfer (SP)
|
100% |
29587
38.0 IPS |
|
|
Style Transfer (HP)
|
100% |
31734
40.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31533
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4724
174.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3830
141.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4517
166.8 IPS |
|
|
Text Classification (SP)
|
100% |
3374
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
6052
8.08 KIPS |
|
|
Text Classification (Q)
|
93% |
5850
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
1049
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1185
20.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1155
20.0 IPS |
