iPhone 16 Plus
Geekbench AI Score
4009
Single Precision Score
4464
Half Precision Score
4159
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | jiayihao03 |
| Upload Date | December 12 2024 03:07 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
905
168.4 IPS |
|
|
Image Classification (HP)
|
100% |
853
158.7 IPS |
|
|
Image Classification (Q)
|
97% |
911
170.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2788
45.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3696
59.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3539
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13562
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
13974
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13258
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1589
126.0 IPS |
|
|
Object Detection (HP)
|
100% |
1556
123.5 IPS |
|
|
Object Detection (Q)
|
91% |
1428
114.1 IPS |
|
|
Face Detection (SP)
|
100% |
6991
83.1 IPS |
|
|
Face Detection (HP)
|
100% |
9208
109.4 IPS |
|
|
Face Detection (Q)
|
100% |
6190
73.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11450
88.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
12076
93.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
10558
82.5 IPS |
|
|
Style Transfer (SP)
|
100% |
29588
38.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32771
42.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30354
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4475
165.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3818
141.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4368
161.3 IPS |
|
|
Text Classification (SP)
|
100% |
3416
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5926
7.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5891
7.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
546
9.40 IPS |
|
|
Machine Translation (HP)
|
100% |
556
9.58 IPS |
|
|
Machine Translation (Q)
|
98% |
498
8.60 IPS |
