iPhone 16 Plus
Geekbench AI Score
4253
Single Precision Score
7216
Half Precision Score
5749
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 15 2025 03:55 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2026
376.9 IPS |
|
|
Image Classification (HP)
|
100% |
3293
612.4 IPS |
|
|
Image Classification (Q)
|
96% |
2236
417.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1772
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2761
44.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3215
52.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8897
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17431
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14461
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
2257
179.0 IPS |
|
|
Object Detection (HP)
|
97% |
3645
290.2 IPS |
|
|
Object Detection (Q)
|
94% |
2528
201.5 IPS |
|
|
Face Detection (SP)
|
100% |
3238
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
6045
71.8 IPS |
|
|
Face Detection (Q)
|
100% |
3487
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7341
56.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
12943
100.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9079
70.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19490
25.1 IPS |
|
|
Style Transfer (HP)
|
100% |
34272
44.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27618
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4559
168.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6968
257.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4881
180.2 IPS |
|
|
Text Classification (SP)
|
100% |
3312
4.42 KIPS |
|
|
Text Classification (HP)
|
100% |
5733
7.65 KIPS |
|
|
Text Classification (Q)
|
93% |
5702
7.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3844
66.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6190
107.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6168
106.6 IPS |
