iPhone 16 Pro
Geekbench AI Score
4455
Single Precision Score
32591
Half Precision Score
46434
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 07 2025 09:42 PM |
| Views | 1 |
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% |
2057
382.6 IPS |
|
|
Image Classification (HP)
|
100% |
15518
2.89 KIPS |
|
|
Image Classification (Q)
|
97% |
22421
4.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1987
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18323
297.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24218
392.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8615
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
132737
154.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
292419
342.7 IPS |
|
|
Object Detection (SP)
|
100% |
2250
178.5 IPS |
|
|
Object Detection (HP)
|
100% |
16471
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
22797
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3796
45.1 IPS |
|
|
Face Detection (HP)
|
100% |
41135
488.8 IPS |
|
|
Face Detection (Q)
|
100% |
60394
717.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7937
61.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
95402
735.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
163438
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
18671
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
244153
313.9 IPS |
|
|
Style Transfer (Q)
|
96% |
303279
391.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4959
183.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52123
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85120
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3367
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4369
5.83 KIPS |
|
|
Text Classification (Q)
|
93% |
4443
5.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
4140
71.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9969
171.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11371
196.5 IPS |
