iPhone 16 Plus
Geekbench AI Score
4381
Single Precision Score
7302
Half Precision Score
5870
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | March 05 2026 08:41 PM |
| Views | 6 |
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% |
2038
379.0 IPS |
|
|
Image Classification (HP)
|
100% |
3299
613.4 IPS |
|
|
Image Classification (Q)
|
96% |
2246
419.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1747
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2711
43.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3117
50.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8307
9.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
16245
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13957
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
2302
182.6 IPS |
|
|
Object Detection (HP)
|
97% |
3692
293.9 IPS |
|
|
Object Detection (Q)
|
94% |
2564
204.4 IPS |
|
|
Face Detection (SP)
|
100% |
3450
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
6578
78.2 IPS |
|
|
Face Detection (Q)
|
100% |
3825
45.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7610
58.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13109
101.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9268
72.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19307
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34822
44.8 IPS |
|
|
Style Transfer (Q)
|
96% |
28583
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5119
189.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6740
248.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4872
179.9 IPS |
|
|
Text Classification (SP)
|
100% |
3702
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6406
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6309
8.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3989
68.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6198
107.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6227
107.6 IPS |
