iPhone 16
Geekbench AI Score
4496
Single Precision Score
4775
Half Precision Score
4909
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | MidniteMarv |
| Upload Date | May 31 2025 11:23 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
750
139.4 IPS |
|
|
Image Classification (HP)
|
100% |
798
148.4 IPS |
|
|
Image Classification (Q)
|
96% |
961
179.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3839
62.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4083
66.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3793
61.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13532
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
13838
16.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
13764
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
2077
164.7 IPS |
|
|
Object Detection (HP)
|
100% |
1604
127.3 IPS |
|
|
Object Detection (Q)
|
92% |
2052
163.8 IPS |
|
|
Face Detection (SP)
|
100% |
7166
85.1 IPS |
|
|
Face Detection (HP)
|
100% |
8915
105.9 IPS |
|
|
Face Detection (Q)
|
100% |
7379
87.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11512
88.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
11711
90.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
11365
88.8 IPS |
|
|
Style Transfer (SP)
|
100% |
29663
38.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32315
41.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31634
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4821
178.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3694
136.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4460
164.7 IPS |
|
|
Text Classification (SP)
|
100% |
3391
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
5955
7.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5902
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1044
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1149
19.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1132
19.6 IPS |
