iPhone 16
Geekbench AI Score
4033
Single Precision Score
4379
Half Precision Score
4284
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | kochitora |
| Upload Date | January 02 2025 12:05 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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 | 7.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
861
160.1 IPS |
|
|
Image Classification (HP)
|
100% |
803
149.4 IPS |
|
|
Image Classification (Q)
|
97% |
927
173.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3023
49.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3669
59.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3667
59.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13627
15.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
13980
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13309
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1524
120.9 IPS |
|
|
Object Detection (HP)
|
100% |
1477
117.2 IPS |
|
|
Object Detection (Q)
|
91% |
1940
155.0 IPS |
|
|
Face Detection (SP)
|
100% |
7128
84.7 IPS |
|
|
Face Detection (HP)
|
100% |
8690
103.3 IPS |
|
|
Face Detection (Q)
|
100% |
6216
73.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11321
87.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
11786
90.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
10386
81.2 IPS |
|
|
Style Transfer (SP)
|
100% |
29659
38.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32695
42.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30771
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4897
180.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3906
144.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4594
169.6 IPS |
|
|
Text Classification (SP)
|
100% |
3489
4.66 KIPS |
|
|
Text Classification (HP)
|
100% |
5869
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5944
7.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
516
8.89 IPS |
|
|
Machine Translation (HP)
|
100% |
556
9.57 IPS |
|
|
Machine Translation (Q)
|
98% |
438
7.56 IPS |
