iPhone 16 Plus
Geekbench AI Score
4361
Single Precision Score
7417
Half Precision Score
5957
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 04 2025 08:35 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1950
362.7 IPS |
|
|
Image Classification (HP)
|
100% |
3222
599.1 IPS |
|
|
Image Classification (Q)
|
96% |
2202
411.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1797
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2852
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3266
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8486
9.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
17618
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14984
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2119
168.1 IPS |
|
|
Object Detection (HP)
|
97% |
3708
295.2 IPS |
|
|
Object Detection (Q)
|
94% |
2608
207.9 IPS |
|
|
Face Detection (SP)
|
100% |
3302
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
6850
81.4 IPS |
|
|
Face Detection (Q)
|
100% |
4043
48.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7616
58.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13942
107.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9662
75.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23174
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37107
47.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30150
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5433
200.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6803
251.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4851
179.1 IPS |
|
|
Text Classification (SP)
|
100% |
3479
4.64 KIPS |
|
|
Text Classification (HP)
|
100% |
5895
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5899
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3588
61.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5911
102.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5950
102.8 IPS |
