iPhone 16 Pro
Geekbench AI Score
4804
Single Precision Score
33495
Half Precision Score
45382
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Yearcakes |
| Upload Date | September 20 2025 04:51 AM |
| 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% |
2048
380.8 IPS |
|
|
Image Classification (HP)
|
100% |
14189
2.64 KIPS |
|
|
Image Classification (Q)
|
97% |
18283
3.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1874
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18165
294.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23791
385.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9793
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
153163
178.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
293797
344.3 IPS |
|
|
Object Detection (SP)
|
100% |
2395
190.0 IPS |
|
|
Object Detection (HP)
|
100% |
15674
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21822
1.74 KIPS |
|
|
Face Detection (SP)
|
100% |
3850
45.7 IPS |
|
|
Face Detection (HP)
|
100% |
40631
482.8 IPS |
|
|
Face Detection (Q)
|
100% |
53286
633.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8378
64.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
94334
726.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
158831
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
24023
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
245559
315.7 IPS |
|
|
Style Transfer (Q)
|
96% |
296008
382.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5939
219.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52019
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80925
2.99 KIPS |
|
|
Text Classification (SP)
|
100% |
3696
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6169
8.23 KIPS |
|
|
Text Classification (Q)
|
93% |
6188
8.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
4282
73.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9512
163.9 IPS |
|
|
Machine Translation (Q)
|
98% |
10592
183.0 IPS |
