iPhone 16 Pro
Geekbench AI Score
4552
Single Precision Score
33295
Half Precision Score
46154
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | March 15 2025 11:45 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
2025
376.5 IPS |
|
|
Image Classification (HP)
|
100% |
15406
2.87 KIPS |
|
|
Image Classification (Q)
|
97% |
20532
3.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1965
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18328
297.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23934
388.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8667
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
153202
178.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
293900
344.5 IPS |
|
|
Object Detection (SP)
|
100% |
2171
172.2 IPS |
|
|
Object Detection (HP)
|
100% |
16171
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22527
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3638
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
41237
490.0 IPS |
|
|
Face Detection (Q)
|
100% |
58301
692.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7860
60.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
95146
733.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
163651
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
23896
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
244605
314.4 IPS |
|
|
Style Transfer (Q)
|
96% |
299683
386.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5726
211.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50670
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86080
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3428
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4879
6.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4816
6.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3811
65.6 IPS |
|
|
Machine Translation (HP)
|
100% |
10089
173.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11376
196.6 IPS |
