iPhone 16 Pro
Geekbench AI Score
4679
Single Precision Score
7902
Half Precision Score
6296
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | attibug |
| Upload Date | March 19 2025 02:49 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2022
376.1 IPS |
|
|
Image Classification (HP)
|
100% |
3385
629.4 IPS |
|
|
Image Classification (Q)
|
96% |
2254
421.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1991
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2938
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3392
55.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9574
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18881
22.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15977
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2216
175.8 IPS |
|
|
Object Detection (HP)
|
97% |
3872
308.3 IPS |
|
|
Object Detection (Q)
|
94% |
2706
215.7 IPS |
|
|
Face Detection (SP)
|
100% |
3724
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
7723
91.8 IPS |
|
|
Face Detection (Q)
|
100% |
4309
51.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8049
62.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14596
112.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10138
79.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25290
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37856
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31358
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5851
216.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7058
260.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5011
185.0 IPS |
|
|
Text Classification (SP)
|
100% |
3434
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
6046
8.07 KIPS |
|
|
Text Classification (Q)
|
93% |
6029
8.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3872
66.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7177
124.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7163
123.8 IPS |
