iPhone 16
Geekbench AI Score
4518
Single Precision Score
33067
Half Precision Score
45458
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Paddie37 |
| Upload Date | March 22 2025 02:18 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2037
378.8 IPS |
|
|
Image Classification (HP)
|
100% |
15181
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
20378
3.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1831
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18175
294.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23843
386.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9164
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
153725
179.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
293178
343.6 IPS |
|
|
Object Detection (SP)
|
100% |
2328
184.6 IPS |
|
|
Object Detection (HP)
|
100% |
16198
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22412
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3626
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
39977
475.0 IPS |
|
|
Face Detection (Q)
|
100% |
53142
631.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8249
63.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
95330
734.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
160496
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
19759
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
245489
315.6 IPS |
|
|
Style Transfer (Q)
|
96% |
303328
391.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5617
207.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51083
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85355
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3385
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4703
6.28 KIPS |
|
|
Text Classification (Q)
|
93% |
4786
6.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3965
68.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10124
174.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11169
193.0 IPS |
