iPhone 16
Geekbench AI Score
4025
Single Precision Score
4388
Half Precision Score
4327
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 01:34 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% |
883
164.2 IPS |
|
|
Image Classification (HP)
|
100% |
856
159.2 IPS |
|
|
Image Classification (Q)
|
97% |
930
173.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3037
49.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3675
59.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3676
59.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13597
15.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
13983
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13327
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1638
129.9 IPS |
|
|
Object Detection (HP)
|
100% |
1525
120.9 IPS |
|
|
Object Detection (Q)
|
91% |
2004
160.1 IPS |
|
|
Face Detection (SP)
|
100% |
7078
84.1 IPS |
|
|
Face Detection (HP)
|
100% |
9214
109.5 IPS |
|
|
Face Detection (Q)
|
100% |
6227
74.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11465
88.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
11933
91.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
10685
83.5 IPS |
|
|
Style Transfer (SP)
|
100% |
29629
38.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32765
42.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30392
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4584
169.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3903
144.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4176
154.2 IPS |
|
|
Text Classification (SP)
|
100% |
3407
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5874
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5908
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
498
8.57 IPS |
|
|
Machine Translation (HP)
|
100% |
478
8.24 IPS |
|
|
Machine Translation (Q)
|
98% |
506
8.74 IPS |
