iPhone 16 Pro
Geekbench AI Score
4627
Single Precision Score
33528
Half Precision Score
45349
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 05 2025 09:22 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2053
381.9 IPS |
|
|
Image Classification (HP)
|
100% |
14774
2.75 KIPS |
|
|
Image Classification (Q)
|
97% |
18960
3.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1830
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18126
293.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23741
384.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9139
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
151624
176.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
292818
343.2 IPS |
|
|
Object Detection (SP)
|
100% |
2316
183.7 IPS |
|
|
Object Detection (HP)
|
100% |
15638
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21690
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
3747
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
40773
484.5 IPS |
|
|
Face Detection (Q)
|
100% |
53887
640.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8185
63.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
94259
726.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
154028
1.20 KIPS |
|
|
Style Transfer (SP)
|
100% |
22051
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
245709
315.9 IPS |
|
|
Style Transfer (Q)
|
96% |
295316
381.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5366
198.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51061
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80947
2.99 KIPS |
|
|
Text Classification (SP)
|
100% |
3697
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6135
8.19 KIPS |
|
|
Text Classification (Q)
|
93% |
6131
8.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
4218
72.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9557
164.6 IPS |
|
|
Machine Translation (Q)
|
98% |
10579
182.8 IPS |
