iPhone 16 Pro
Geekbench AI Score
4731
Single Precision Score
32777
Half Precision Score
44223
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | March 18 2025 11:03 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2095
389.6 IPS |
|
|
Image Classification (HP)
|
100% |
15022
2.79 KIPS |
|
|
Image Classification (Q)
|
97% |
20068
3.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2028
32.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18220
295.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24135
391.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9841
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
153174
178.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
293256
343.7 IPS |
|
|
Object Detection (SP)
|
100% |
2382
189.0 IPS |
|
|
Object Detection (HP)
|
100% |
16270
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22388
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3834
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
40857
485.5 IPS |
|
|
Face Detection (Q)
|
100% |
60102
714.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8319
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
94894
731.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
161384
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
20528
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
245998
316.2 IPS |
|
|
Style Transfer (Q)
|
96% |
300714
388.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5890
217.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50664
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83843
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3399
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
4316
5.76 KIPS |
|
|
Text Classification (Q)
|
93% |
3391
4.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4308
74.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10063
173.3 IPS |
|
|
Machine Translation (Q)
|
98% |
10849
187.5 IPS |
