iPhone 16 Pro
Geekbench AI Score
4314
Single Precision Score
32930
Half Precision Score
46502
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 10:53 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1901
353.5 IPS |
|
|
Image Classification (HP)
|
100% |
15834
2.94 KIPS |
|
|
Image Classification (Q)
|
97% |
22185
4.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1891
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16594
269.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
21687
351.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7837
9.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
147043
171.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
292149
342.4 IPS |
|
|
Object Detection (SP)
|
100% |
2067
164.0 IPS |
|
|
Object Detection (HP)
|
100% |
16402
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22834
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3409
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
41232
489.9 IPS |
|
|
Face Detection (Q)
|
100% |
61317
728.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7204
55.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
95114
732.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
162202
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
22608
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
244737
314.6 IPS |
|
|
Style Transfer (Q)
|
96% |
302464
390.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5450
201.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51047
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84355
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3419
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4827
6.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5008
6.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
3710
63.9 IPS |
|
|
Machine Translation (HP)
|
100% |
10005
172.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11593
200.3 IPS |
