iPhone 16 Pro
Geekbench AI Score
4695
Single Precision Score
32945
Half Precision Score
45627
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | daromeer |
| Upload Date | May 07 2025 08:49 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2097
389.9 IPS |
|
|
Image Classification (HP)
|
100% |
15261
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
20226
3.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1993
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18228
295.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24016
389.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9415
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
151943
177.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
291626
341.8 IPS |
|
|
Object Detection (SP)
|
100% |
2375
188.4 IPS |
|
|
Object Detection (HP)
|
100% |
16322
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22498
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3947
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
41222
489.8 IPS |
|
|
Face Detection (Q)
|
100% |
59957
712.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8312
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
94973
731.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
160943
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
20615
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
244868
314.8 IPS |
|
|
Style Transfer (Q)
|
96% |
300350
387.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5739
211.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49962
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84628
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3368
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4577
6.11 KIPS |
|
|
Text Classification (Q)
|
93% |
4407
5.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
4260
73.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9962
171.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11353
196.2 IPS |
