iPhone 16 Pro
Geekbench AI Score
4571
Single Precision Score
31663
Half Precision Score
43335
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Atirox |
| Upload Date | February 13 2025 11:59 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2022
376.0 IPS |
|
|
Image Classification (HP)
|
100% |
15513
2.88 KIPS |
|
|
Image Classification (Q)
|
97% |
20618
3.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1953
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18343
297.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24133
391.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8854
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
153124
178.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
293036
343.5 IPS |
|
|
Object Detection (SP)
|
100% |
2180
172.9 IPS |
|
|
Object Detection (HP)
|
100% |
16200
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22331
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
3674
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
41265
490.3 IPS |
|
|
Face Detection (Q)
|
100% |
57597
684.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7901
60.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
95481
735.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
160162
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
24078
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
244831
314.7 IPS |
|
|
Style Transfer (Q)
|
96% |
300682
388.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5709
210.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52282
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84372
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3445
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
2979
3.98 KIPS |
|
|
Text Classification (Q)
|
93% |
2721
3.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3804
65.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9553
164.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11265
194.7 IPS |
