iPhone 16 Pro
Geekbench AI Score
4717
Single Precision Score
32418
Half Precision Score
45156
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Yearcakes |
| Upload Date | March 23 2025 02:22 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2040
379.3 IPS |
|
|
Image Classification (HP)
|
100% |
14834
2.76 KIPS |
|
|
Image Classification (Q)
|
97% |
20367
3.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1986
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18230
295.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24212
392.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9904
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
154406
180.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
294855
345.6 IPS |
|
|
Object Detection (SP)
|
100% |
2226
176.6 IPS |
|
|
Object Detection (HP)
|
100% |
16022
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
22031
1.76 KIPS |
|
|
Face Detection (SP)
|
100% |
3744
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
40064
476.0 IPS |
|
|
Face Detection (Q)
|
100% |
56182
667.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8188
63.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
96148
740.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
159861
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
25168
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
244841
314.7 IPS |
|
|
Style Transfer (Q)
|
96% |
300297
387.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5963
220.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49995
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86211
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3425
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4125
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4226
5.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3877
66.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9854
169.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11201
193.6 IPS |
