iPhone 16 Plus
Geekbench AI Score
4311
Single Precision Score
7382
Half Precision Score
5922
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | jpvt100 |
| Upload Date | January 21 2025 02:40 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1939
360.5 IPS |
|
|
Image Classification (HP)
|
100% |
3245
603.6 IPS |
|
|
Image Classification (Q)
|
96% |
2200
410.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1782
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2785
45.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3259
52.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8632
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17909
20.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15221
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2113
167.6 IPS |
|
|
Object Detection (HP)
|
97% |
3710
295.4 IPS |
|
|
Object Detection (Q)
|
94% |
2599
207.1 IPS |
|
|
Face Detection (SP)
|
100% |
3253
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
6885
81.8 IPS |
|
|
Face Detection (Q)
|
100% |
3998
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7382
56.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13828
106.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9442
73.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22709
29.2 IPS |
|
|
Style Transfer (HP)
|
100% |
36199
46.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29995
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5346
197.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6726
248.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4803
177.3 IPS |
|
|
Text Classification (SP)
|
100% |
3439
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5883
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5913
7.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3517
60.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5871
101.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5826
100.7 IPS |
