iPhone 16
Geekbench AI Score
4015
Single Precision Score
4417
Half Precision Score
4293
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | UHI |
| Upload Date | December 21 2024 02:59 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone 16 |
| Model ID | iPhone17,3 |
| Motherboard | D47AP |
| 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 | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
797
148.2 IPS |
|
|
Image Classification (HP)
|
100% |
824
153.2 IPS |
|
|
Image Classification (Q)
|
97% |
902
168.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2942
47.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3694
59.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3210
52.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13589
15.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
13980
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13324
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1818
144.2 IPS |
|
|
Object Detection (HP)
|
100% |
1604
127.2 IPS |
|
|
Object Detection (Q)
|
91% |
1915
153.0 IPS |
|
|
Face Detection (SP)
|
100% |
7194
85.5 IPS |
|
|
Face Detection (HP)
|
100% |
9507
113.0 IPS |
|
|
Face Detection (Q)
|
100% |
6234
74.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11421
88.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
12049
92.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
10657
83.3 IPS |
|
|
Style Transfer (SP)
|
100% |
29608
38.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32044
41.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30914
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4666
172.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3616
133.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4293
158.5 IPS |
|
|
Text Classification (SP)
|
100% |
3420
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5879
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5839
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
485
8.35 IPS |
|
|
Machine Translation (HP)
|
100% |
531
9.15 IPS |
|
|
Machine Translation (Q)
|
98% |
560
9.68 IPS |
