iPhone 16 Pro
Geekbench AI Score
5963
Single Precision Score
6733
Half Precision Score
6231
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Yearcakes |
| Upload Date | March 23 2025 02:20 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
3002
558.3 IPS |
|
|
Image Classification (HP)
|
100% |
2097
390.0 IPS |
|
|
Image Classification (Q)
|
97% |
2885
538.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3607
58.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4502
73.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4467
72.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15943
18.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
16509
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15792
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
3460
274.4 IPS |
|
|
Object Detection (HP)
|
100% |
3638
288.6 IPS |
|
|
Object Detection (Q)
|
91% |
2973
237.6 IPS |
|
|
Face Detection (SP)
|
100% |
8216
97.6 IPS |
|
|
Face Detection (HP)
|
100% |
11367
135.1 IPS |
|
|
Face Detection (Q)
|
100% |
7860
93.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
14249
109.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
15557
119.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
12668
99.0 IPS |
|
|
Style Transfer (SP)
|
100% |
33378
42.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38466
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
37574
48.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8151
301.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8512
314.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6960
257.0 IPS |
|
|
Text Classification (SP)
|
100% |
3419
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5882
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5981
8.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
875
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
992
17.1 IPS |
|
|
Machine Translation (Q)
|
98% |
937
16.2 IPS |
