iPhone 16
Geekbench AI Score
4223
Single Precision Score
7327
Half Precision Score
5838
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 22 2024 04:12 AM |
| Views | 1 |
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% |
1914
356.0 IPS |
|
|
Image Classification (HP)
|
100% |
3226
599.9 IPS |
|
|
Image Classification (Q)
|
96% |
2205
411.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1772
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2791
45.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3258
52.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8294
9.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
17324
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14475
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1980
157.0 IPS |
|
|
Object Detection (HP)
|
97% |
3654
290.9 IPS |
|
|
Object Detection (Q)
|
94% |
2554
203.6 IPS |
|
|
Face Detection (SP)
|
100% |
3154
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
6893
81.9 IPS |
|
|
Face Detection (Q)
|
100% |
3909
46.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7349
56.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13631
105.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9310
72.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22544
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35867
46.1 IPS |
|
|
Style Transfer (Q)
|
96% |
29113
37.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5131
189.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6655
245.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4725
174.5 IPS |
|
|
Text Classification (SP)
|
100% |
3426
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5923
7.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5887
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3534
60.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5897
101.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5876
101.5 IPS |
