iPhone 16 Pro
Geekbench AI Score
5926
Single Precision Score
6834
Half Precision Score
6129
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 11:20 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
2945
547.8 IPS |
|
|
Image Classification (HP)
|
100% |
2764
513.9 IPS |
|
|
Image Classification (Q)
|
97% |
2907
542.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3471
56.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4458
72.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4423
71.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15731
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16461
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15778
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
3210
254.6 IPS |
|
|
Object Detection (HP)
|
100% |
3509
278.3 IPS |
|
|
Object Detection (Q)
|
91% |
2880
230.1 IPS |
|
|
Face Detection (SP)
|
100% |
8222
97.7 IPS |
|
|
Face Detection (HP)
|
100% |
11195
133.0 IPS |
|
|
Face Detection (Q)
|
100% |
7766
92.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
14033
108.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
15358
118.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
12292
96.1 IPS |
|
|
Style Transfer (SP)
|
100% |
32581
41.9 IPS |
|
|
Style Transfer (HP)
|
100% |
39026
50.2 IPS |
|
|
Style Transfer (Q)
|
96% |
37488
48.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8107
299.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8469
312.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6882
254.1 IPS |
|
|
Text Classification (SP)
|
100% |
3427
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5928
7.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5868
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
992
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
927
16.0 IPS |
|
|
Machine Translation (Q)
|
98% |
886
15.3 IPS |
