iPhone 16 Pro
Geekbench AI Score
4458
Single Precision Score
32766
Half Precision Score
46081
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | returnf4lse |
| Upload Date | December 11 2024 12:38 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
2003
372.5 IPS |
|
|
Image Classification (HP)
|
100% |
15260
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
20498
3.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1925
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18212
295.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23873
387.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8444
9.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
150902
176.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
291713
341.9 IPS |
|
|
Object Detection (SP)
|
100% |
2120
168.2 IPS |
|
|
Object Detection (HP)
|
100% |
16164
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22289
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
3582
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
41134
488.8 IPS |
|
|
Face Detection (Q)
|
100% |
57818
687.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7650
58.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
94401
727.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
160977
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
23533
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
244412
314.2 IPS |
|
|
Style Transfer (Q)
|
96% |
301054
388.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5442
200.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50670
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84680
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3432
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4809
6.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5067
6.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3731
64.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9101
156.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11288
195.1 IPS |
