iPhone 16 Plus
Geekbench AI Score
4497
Single Precision Score
4776
Half Precision Score
4885
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Sean233 |
| Upload Date | March 28 2025 11:48 AM |
| Views | 12 |
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% |
876
162.8 IPS |
|
|
Image Classification (HP)
|
100% |
837
155.7 IPS |
|
|
Image Classification (Q)
|
96% |
942
175.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3264
52.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3864
62.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3826
62.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13535
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
13915
16.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
13605
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
2145
170.1 IPS |
|
|
Object Detection (HP)
|
100% |
1603
127.2 IPS |
|
|
Object Detection (Q)
|
92% |
1998
159.5 IPS |
|
|
Face Detection (SP)
|
100% |
7056
83.8 IPS |
|
|
Face Detection (HP)
|
100% |
8414
100.0 IPS |
|
|
Face Detection (Q)
|
100% |
7159
85.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11519
88.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12354
95.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
11246
87.9 IPS |
|
|
Style Transfer (SP)
|
100% |
29613
38.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32050
41.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31626
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4734
174.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3711
137.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4529
167.2 IPS |
|
|
Text Classification (SP)
|
100% |
3396
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
5930
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5877
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1054
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1170
20.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1167
20.2 IPS |
