iPhone 16
Geekbench AI Score
4368
Single Precision Score
33058
Half Precision Score
45929
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | howells |
| Upload Date | December 15 2024 05:14 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1945
361.7 IPS |
|
|
Image Classification (HP)
|
100% |
15518
2.89 KIPS |
|
|
Image Classification (Q)
|
97% |
20630
3.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1794
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
17828
289.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23774
385.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8577
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
154942
180.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
294973
345.7 IPS |
|
|
Object Detection (SP)
|
100% |
2141
169.8 IPS |
|
|
Object Detection (HP)
|
100% |
16146
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22717
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3323
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
40663
483.2 IPS |
|
|
Face Detection (Q)
|
100% |
56211
667.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7764
59.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
96323
742.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
165530
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
23072
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
245899
316.1 IPS |
|
|
Style Transfer (Q)
|
96% |
304248
392.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5388
199.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52021
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84437
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3429
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4558
6.08 KIPS |
|
|
Text Classification (Q)
|
93% |
4547
6.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3593
61.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9863
169.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11696
202.1 IPS |
