iPhone 16
Geekbench AI Score
4245
Single Precision Score
7344
Half Precision Score
5847
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | DVB |
| Upload Date | December 16 2024 04:00 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1938
360.4 IPS |
|
|
Image Classification (HP)
|
100% |
3197
594.4 IPS |
|
|
Image Classification (Q)
|
96% |
2212
413.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1783
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2828
45.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3238
52.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8282
9.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
17253
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14514
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2053
162.8 IPS |
|
|
Object Detection (HP)
|
97% |
3687
293.6 IPS |
|
|
Object Detection (Q)
|
94% |
2570
204.9 IPS |
|
|
Face Detection (SP)
|
100% |
3148
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
6897
81.9 IPS |
|
|
Face Detection (Q)
|
100% |
3911
46.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7295
56.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13596
105.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9287
72.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22120
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35727
45.9 IPS |
|
|
Style Transfer (Q)
|
96% |
29341
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5121
189.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6718
248.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4724
174.4 IPS |
|
|
Text Classification (SP)
|
100% |
3496
4.67 KIPS |
|
|
Text Classification (HP)
|
100% |
5931
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5871
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3563
61.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5947
102.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5920
102.3 IPS |
