iPhone 16 Pro
Geekbench AI Score
4581
Single Precision Score
33259
Half Precision Score
46109
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | xilvar |
| Upload Date | December 22 2024 01:37 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| Model | iPhone 16 Pro |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2021
375.8 IPS |
|
|
Image Classification (HP)
|
100% |
15228
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
20526
3.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1964
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18312
296.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24139
391.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9056
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
153432
179.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
295263
346.1 IPS |
|
|
Object Detection (SP)
|
100% |
2150
170.5 IPS |
|
|
Object Detection (HP)
|
100% |
16373
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22484
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3670
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
42274
502.3 IPS |
|
|
Face Detection (Q)
|
100% |
58679
697.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7973
61.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
95322
734.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
162405
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24484
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
244697
314.6 IPS |
|
|
Style Transfer (Q)
|
96% |
299833
386.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5750
212.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50435
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84803
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3441
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4836
6.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4726
6.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3718
64.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9833
169.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11532
199.3 IPS |
