iPhone 16 Pro
Geekbench AI Score
4653
Single Precision Score
7861
Half Precision Score
6265
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | mariusfanu |
| Upload Date | April 19 2025 12:24 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2080
386.9 IPS |
|
|
Image Classification (HP)
|
100% |
3377
628.0 IPS |
|
|
Image Classification (Q)
|
96% |
2288
427.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2019
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2878
46.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3360
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9571
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18785
21.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15798
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2323
184.3 IPS |
|
|
Object Detection (HP)
|
97% |
3808
303.2 IPS |
|
|
Object Detection (Q)
|
94% |
2664
212.3 IPS |
|
|
Face Detection (SP)
|
100% |
3939
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
7347
87.3 IPS |
|
|
Face Detection (Q)
|
100% |
4109
48.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8189
63.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14369
111.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9865
77.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20459
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37792
48.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30905
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5436
200.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7282
268.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5248
193.8 IPS |
|
|
Text Classification (SP)
|
100% |
3373
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
6052
8.08 KIPS |
|
|
Text Classification (Q)
|
93% |
5888
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
4211
72.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7377
127.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7440
128.6 IPS |
