iPhone 16 Pro
Geekbench AI Score
5922
Single Precision Score
6553
Half Precision Score
6262
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | danielmcfarland |
| Upload Date | December 28 2024 09:27 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3021
561.8 IPS |
|
|
Image Classification (HP)
|
100% |
1889
351.3 IPS |
|
|
Image Classification (Q)
|
97% |
2897
540.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3613
58.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4461
72.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4467
72.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15881
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
16440
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15708
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
3442
273.0 IPS |
|
|
Object Detection (HP)
|
100% |
3651
289.6 IPS |
|
|
Object Detection (Q)
|
91% |
2942
235.1 IPS |
|
|
Face Detection (SP)
|
100% |
8242
97.9 IPS |
|
|
Face Detection (HP)
|
100% |
11218
133.3 IPS |
|
|
Face Detection (Q)
|
100% |
7907
94.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
14190
109.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
15538
119.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
13389
104.7 IPS |
|
|
Style Transfer (SP)
|
100% |
32951
42.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38366
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
37361
48.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8164
301.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8391
309.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6940
256.3 IPS |
|
|
Text Classification (SP)
|
100% |
3418
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5858
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5933
7.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
828
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
879
15.1 IPS |
|
|
Machine Translation (Q)
|
98% |
953
16.5 IPS |
