iPhone 16
Geekbench AI Score
4048
Single Precision Score
4325
Half Precision Score
4262
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | howells |
| Upload Date | December 15 2024 05:30 AM |
| Views | 9 |
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% |
897
166.8 IPS |
|
|
Image Classification (HP)
|
100% |
763
141.8 IPS |
|
|
Image Classification (Q)
|
97% |
886
165.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2854
46.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3695
59.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3076
49.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13576
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
13958
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13286
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1904
151.0 IPS |
|
|
Object Detection (HP)
|
100% |
1485
117.8 IPS |
|
|
Object Detection (Q)
|
91% |
2031
162.3 IPS |
|
|
Face Detection (SP)
|
100% |
7089
84.2 IPS |
|
|
Face Detection (HP)
|
100% |
9445
112.2 IPS |
|
|
Face Detection (Q)
|
100% |
6202
73.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11391
87.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
12025
92.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
10442
81.6 IPS |
|
|
Style Transfer (SP)
|
100% |
29713
38.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32810
42.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30895
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4232
156.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3764
139.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4195
154.9 IPS |
|
|
Text Classification (SP)
|
100% |
3438
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5951
7.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5887
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
512
8.81 IPS |
|
|
Machine Translation (HP)
|
100% |
470
8.10 IPS |
|
|
Machine Translation (Q)
|
98% |
545
9.42 IPS |
