iPhone 16 Pro
Geekbench AI Score
4543
Single Precision Score
32528
Half Precision Score
43540
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | jordan777 |
| Upload Date | February 07 2025 11:44 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
2015
374.7 IPS |
|
|
Image Classification (HP)
|
100% |
15325
2.85 KIPS |
|
|
Image Classification (Q)
|
97% |
20490
3.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1947
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18221
295.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23887
387.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8893
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
153116
178.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
293001
343.4 IPS |
|
|
Object Detection (SP)
|
100% |
2172
172.2 IPS |
|
|
Object Detection (HP)
|
100% |
16265
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22104
1.77 KIPS |
|
|
Face Detection (SP)
|
100% |
3604
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
41098
488.3 IPS |
|
|
Face Detection (Q)
|
100% |
57797
686.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7789
60.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
94547
728.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
161357
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
23844
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
244472
314.3 IPS |
|
|
Style Transfer (Q)
|
96% |
302191
390.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5722
211.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49968
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83706
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3439
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4328
5.78 KIPS |
|
|
Text Classification (Q)
|
93% |
2902
3.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3754
64.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9285
159.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11283
195.0 IPS |
