iPhone 16 Pro
Geekbench AI Score
4567
Single Precision Score
7800
Half Precision Score
6168
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 15 2025 04:32 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2089
388.5 IPS |
|
|
Image Classification (HP)
|
100% |
3403
632.8 IPS |
|
|
Image Classification (Q)
|
96% |
2281
425.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1994
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2859
46.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3330
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8967
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17901
20.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15230
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2326
184.5 IPS |
|
|
Object Detection (HP)
|
97% |
3771
300.2 IPS |
|
|
Object Detection (Q)
|
94% |
2628
209.5 IPS |
|
|
Face Detection (SP)
|
100% |
3918
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
7536
89.5 IPS |
|
|
Face Detection (Q)
|
100% |
4150
49.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7728
59.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14257
110.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9570
74.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19896
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37519
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30053
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5286
195.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7321
270.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5091
188.0 IPS |
|
|
Text Classification (SP)
|
100% |
3378
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5928
7.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5953
7.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
4233
72.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7262
125.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7254
125.4 IPS |
