iPhone 16
Geekbench AI Score
4324
Single Precision Score
7434
Half Precision Score
5953
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 26 2024 12:53 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1903
353.8 IPS |
|
|
Image Classification (HP)
|
100% |
3176
590.7 IPS |
|
|
Image Classification (Q)
|
96% |
2187
408.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1793
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2881
46.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3273
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8538
9.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
17933
20.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14943
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2112
167.5 IPS |
|
|
Object Detection (HP)
|
97% |
3734
297.3 IPS |
|
|
Object Detection (Q)
|
94% |
2609
208.0 IPS |
|
|
Face Detection (SP)
|
100% |
3317
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
6966
82.8 IPS |
|
|
Face Detection (Q)
|
100% |
4052
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7533
58.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14146
109.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9715
75.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22901
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
36667
47.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30350
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5316
196.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6682
246.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4745
175.2 IPS |
|
|
Text Classification (SP)
|
100% |
3420
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5990
7.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5954
7.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3573
61.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5820
100.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5934
102.5 IPS |
