iPhone 16
Geekbench AI Score
3925
Single Precision Score
4390
Half Precision Score
4262
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | mamiyoshi |
| Upload Date | March 18 2025 10:22 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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 | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
879
163.6 IPS |
|
|
Image Classification (HP)
|
100% |
842
156.7 IPS |
|
|
Image Classification (Q)
|
97% |
889
165.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2983
48.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3694
59.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3109
50.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13599
15.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
13947
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13306
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1504
119.3 IPS |
|
|
Object Detection (HP)
|
100% |
1515
120.2 IPS |
|
|
Object Detection (Q)
|
91% |
1894
151.3 IPS |
|
|
Face Detection (SP)
|
100% |
7189
85.4 IPS |
|
|
Face Detection (HP)
|
100% |
9260
110.0 IPS |
|
|
Face Detection (Q)
|
100% |
6217
73.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11510
88.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
11947
92.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
10637
83.1 IPS |
|
|
Style Transfer (SP)
|
100% |
29676
38.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32731
42.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30934
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4234
156.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3648
134.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4558
168.3 IPS |
|
|
Text Classification (SP)
|
100% |
3435
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5930
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5882
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
454
7.82 IPS |
|
|
Machine Translation (HP)
|
100% |
517
8.91 IPS |
|
|
Machine Translation (Q)
|
98% |
518
8.96 IPS |
