iPhone 16 Pro
Geekbench AI Score
4660
Single Precision Score
33491
Half Precision Score
45079
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | VenomF5 |
| Upload Date | July 25 2025 12:35 AM |
| Views | 5 |
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% |
2058
382.8 IPS |
|
|
Image Classification (HP)
|
100% |
13587
2.53 KIPS |
|
|
Image Classification (Q)
|
97% |
17933
3.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1893
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18094
293.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23758
385.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9154
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
151698
177.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
280796
329.1 IPS |
|
|
Object Detection (SP)
|
100% |
2336
185.3 IPS |
|
|
Object Detection (HP)
|
100% |
15537
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
20556
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
3721
44.2 IPS |
|
|
Face Detection (HP)
|
100% |
39782
472.7 IPS |
|
|
Face Detection (Q)
|
100% |
52302
621.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8231
63.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
93529
720.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
151792
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
22193
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
244568
314.4 IPS |
|
|
Style Transfer (Q)
|
96% |
294562
380.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5625
207.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50725
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77884
2.88 KIPS |
|
|
Text Classification (SP)
|
100% |
3600
4.81 KIPS |
|
|
Text Classification (HP)
|
99% |
5914
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5998
8.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
4219
72.7 IPS |
|
|
Machine Translation (HP)
|
100% |
11225
193.4 IPS |
|
|
Machine Translation (Q)
|
98% |
12899
222.9 IPS |
