iPhone 16
Geekbench AI Score
4451
Single Precision Score
7534
Half Precision Score
6052
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 01:30 PM |
| 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% |
1957
364.0 IPS |
|
|
Image Classification (HP)
|
100% |
3225
599.7 IPS |
|
|
Image Classification (Q)
|
96% |
2217
414.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1794
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2881
46.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3277
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9232
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18907
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15863
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
2164
171.6 IPS |
|
|
Object Detection (HP)
|
97% |
3754
298.9 IPS |
|
|
Object Detection (Q)
|
94% |
2624
209.1 IPS |
|
|
Face Detection (SP)
|
100% |
3343
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
7047
83.7 IPS |
|
|
Face Detection (Q)
|
100% |
4113
48.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7864
60.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14255
110.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9976
77.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23855
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37706
48.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30875
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5655
208.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6832
252.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4873
180.0 IPS |
|
|
Text Classification (SP)
|
100% |
3426
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5842
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5970
8.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3583
61.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5917
102.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5923
102.4 IPS |
