iPhone 16 Pro
Geekbench AI Score
4640
Single Precision Score
33098
Half Precision Score
46069
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 17 2025 03:33 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2107
391.9 IPS |
|
|
Image Classification (HP)
|
100% |
15268
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
20741
3.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1996
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18304
296.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24050
389.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8962
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
152288
177.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
291370
341.5 IPS |
|
|
Object Detection (SP)
|
100% |
2333
185.0 IPS |
|
|
Object Detection (HP)
|
100% |
16573
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
22718
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3946
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
41084
488.2 IPS |
|
|
Face Detection (Q)
|
100% |
57905
688.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8218
63.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
95213
733.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
164311
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
19719
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
244675
314.5 IPS |
|
|
Style Transfer (Q)
|
96% |
303890
392.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5559
205.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50789
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85037
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3444
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
4562
6.09 KIPS |
|
|
Text Classification (Q)
|
93% |
4616
6.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
4305
74.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10088
173.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11492
198.6 IPS |
