iPhone 16
Geekbench AI Score
3975
Single Precision Score
4405
Half Precision Score
4313
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 02:24 PM |
| Views | 1 |
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% |
729
135.6 IPS |
|
|
Image Classification (HP)
|
100% |
876
162.9 IPS |
|
|
Image Classification (Q)
|
97% |
908
169.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2833
45.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3703
60.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3677
59.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13583
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
14021
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13386
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
2202
174.6 IPS |
|
|
Object Detection (HP)
|
100% |
1509
119.7 IPS |
|
|
Object Detection (Q)
|
91% |
1940
155.0 IPS |
|
|
Face Detection (SP)
|
100% |
6988
83.0 IPS |
|
|
Face Detection (HP)
|
100% |
9123
108.4 IPS |
|
|
Face Detection (Q)
|
100% |
6158
73.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11405
87.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
11951
92.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
10643
83.2 IPS |
|
|
Style Transfer (SP)
|
100% |
29511
37.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32923
42.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30798
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3932
145.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3850
142.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4193
154.8 IPS |
|
|
Text Classification (SP)
|
100% |
3427
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5943
7.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5950
7.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
504
8.68 IPS |
|
|
Machine Translation (HP)
|
100% |
489
8.43 IPS |
|
|
Machine Translation (Q)
|
98% |
511
8.82 IPS |
