iPhone 16 Pro
Geekbench AI Score
4547
Single Precision Score
33387
Half Precision Score
45078
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | DaMoisture |
| Upload Date | September 16 2025 02:30 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2041
379.6 IPS |
|
|
Image Classification (HP)
|
100% |
14843
2.76 KIPS |
|
|
Image Classification (Q)
|
97% |
18892
3.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1828
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18038
292.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23650
383.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8833
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
145028
169.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
278714
326.7 IPS |
|
|
Object Detection (SP)
|
100% |
2291
181.7 IPS |
|
|
Object Detection (HP)
|
100% |
15697
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
21312
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3665
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
39905
474.2 IPS |
|
|
Face Detection (Q)
|
100% |
54623
649.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7955
61.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
94210
725.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
153183
1.20 KIPS |
|
|
Style Transfer (SP)
|
100% |
21586
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
245159
315.2 IPS |
|
|
Style Transfer (Q)
|
96% |
297640
384.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5221
192.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52501
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81139
3.00 KIPS |
|
|
Text Classification (SP)
|
100% |
3699
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6204
8.28 KIPS |
|
|
Text Classification (Q)
|
93% |
6075
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
4125
71.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9408
162.1 IPS |
|
|
Machine Translation (Q)
|
98% |
10636
183.8 IPS |
