iPhone 16 Pro
Geekbench AI Score
4132
Single Precision Score
7265
Half Precision Score
5728
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 26 2024 08:52 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1958
364.2 IPS |
|
|
Image Classification (HP)
|
100% |
3329
619.2 IPS |
|
|
Image Classification (Q)
|
96% |
2253
420.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1839
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2804
45.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3153
51.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7701
8.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
15524
18.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13372
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1912
151.6 IPS |
|
|
Object Detection (HP)
|
97% |
3635
289.4 IPS |
|
|
Object Detection (Q)
|
94% |
2468
196.7 IPS |
|
|
Face Detection (SP)
|
100% |
3305
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
6837
81.2 IPS |
|
|
Face Detection (Q)
|
100% |
3739
44.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6608
50.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
12796
98.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
8730
68.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21070
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
33642
43.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27478
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4852
179.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6559
242.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4561
168.4 IPS |
|
|
Text Classification (SP)
|
100% |
3419
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
6032
8.05 KIPS |
|
|
Text Classification (Q)
|
93% |
5860
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3585
61.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6681
115.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6776
117.1 IPS |
