iPhone 16 Pro
Geekbench AI Score
4385
Single Precision Score
32649
Half Precision Score
45345
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | sw0000 |
| Upload Date | March 11 2025 03:13 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2016
374.9 IPS |
|
|
Image Classification (HP)
|
100% |
15211
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
20121
3.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1961
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18227
295.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23887
387.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8334
9.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
147624
172.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
291791
342.0 IPS |
|
|
Object Detection (SP)
|
100% |
2095
166.2 IPS |
|
|
Object Detection (HP)
|
100% |
16372
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22310
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
3396
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
41175
489.3 IPS |
|
|
Face Detection (Q)
|
100% |
57427
682.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7190
55.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
94023
724.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
158951
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
22788
29.3 IPS |
|
|
Style Transfer (HP)
|
100% |
244242
314.0 IPS |
|
|
Style Transfer (Q)
|
96% |
301186
388.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5270
194.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50115
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82327
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3414
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4512
6.02 KIPS |
|
|
Text Classification (Q)
|
93% |
4635
6.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3808
65.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9608
165.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11198
193.5 IPS |
