iPhone 16 Plus
Geekbench AI Score
4382
Single Precision Score
7350
Half Precision Score
5902
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | March 05 2026 08:54 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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% |
2028
377.1 IPS |
|
|
Image Classification (HP)
|
100% |
3291
612.0 IPS |
|
|
Image Classification (Q)
|
96% |
2243
418.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1698
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2719
44.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3126
50.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8394
9.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
16513
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14255
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
2278
180.7 IPS |
|
|
Object Detection (HP)
|
97% |
3704
294.9 IPS |
|
|
Object Detection (Q)
|
94% |
2565
204.5 IPS |
|
|
Face Detection (SP)
|
100% |
3441
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
6642
78.9 IPS |
|
|
Face Detection (Q)
|
100% |
3862
45.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7659
59.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13439
103.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9354
73.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19706
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35181
45.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27946
36.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5164
190.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6825
252.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4909
181.3 IPS |
|
|
Text Classification (SP)
|
100% |
3712
4.95 KIPS |
|
|
Text Classification (HP)
|
99% |
6316
8.43 KIPS |
|
|
Text Classification (Q)
|
93% |
6298
8.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3990
68.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6218
107.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6413
110.8 IPS |
