iPhone 16 Pro
Geekbench AI Score
4705
Single Precision Score
33070
Half Precision Score
45983
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | pheonix74 |
| Upload Date | June 25 2025 01:03 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2080
386.8 IPS |
|
|
Image Classification (HP)
|
100% |
15224
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
20694
3.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2004
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18311
296.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24145
391.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9397
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
153095
178.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
292161
342.4 IPS |
|
|
Object Detection (SP)
|
100% |
2358
187.1 IPS |
|
|
Object Detection (HP)
|
100% |
16524
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
23099
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
3976
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
41213
489.7 IPS |
|
|
Face Detection (Q)
|
100% |
58010
689.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8309
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
94832
730.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
159301
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
20864
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
244821
314.7 IPS |
|
|
Style Transfer (Q)
|
96% |
301753
389.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5710
210.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50516
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84705
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3398
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
4618
6.16 KIPS |
|
|
Text Classification (Q)
|
93% |
4691
6.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
4306
74.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9941
171.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11314
195.5 IPS |
