iPhone 16
Geekbench AI Score
4187
Single Precision Score
32450
Half Precision Score
46675
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | iPhonedo |
| Upload Date | March 03 2025 03:06 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1928
358.5 IPS |
|
|
Image Classification (HP)
|
100% |
15607
2.90 KIPS |
|
|
Image Classification (Q)
|
97% |
21514
4.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1761
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18178
294.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23729
384.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8185
9.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
153102
178.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
294717
345.4 IPS |
|
|
Object Detection (SP)
|
100% |
2087
165.6 IPS |
|
|
Object Detection (HP)
|
100% |
16466
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
23119
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
3230
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
40684
483.4 IPS |
|
|
Face Detection (Q)
|
100% |
56935
676.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7107
54.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
94223
725.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
164717
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
21341
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
244660
314.5 IPS |
|
|
Style Transfer (Q)
|
96% |
306154
395.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4721
174.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52345
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86937
3.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3503
4.68 KIPS |
|
|
Text Classification (HP)
|
100% |
3497
4.67 KIPS |
|
|
Text Classification (Q)
|
93% |
4763
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3530
60.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10545
181.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11868
205.1 IPS |
