iPhone 16 Pro
Geekbench AI Score
4749
Single Precision Score
33310
Half Precision Score
46390
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 24 2025 07:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2078
386.4 IPS |
|
|
Image Classification (HP)
|
100% |
15168
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
20958
3.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2009
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18289
296.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24228
392.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9780
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
153722
179.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
293343
343.8 IPS |
|
|
Object Detection (SP)
|
100% |
2379
188.7 IPS |
|
|
Object Detection (HP)
|
100% |
16284
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22433
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
4006
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
41135
488.8 IPS |
|
|
Face Detection (Q)
|
100% |
58468
694.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8314
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
95454
735.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
159618
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
21398
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
244135
313.8 IPS |
|
|
Style Transfer (Q)
|
96% |
302191
390.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5866
216.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50855
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86687
3.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3372
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4878
6.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4919
6.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4267
73.5 IPS |
|
|
Machine Translation (HP)
|
100% |
10185
175.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11489
198.5 IPS |
