iPhone18,3
Geekbench AI Score
1999
Single Precision Score
3256
Half Precision Score
2558
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Xabla |
| Upload Date | October 26 2025 02:31 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone18,3 |
| Model ID | iPhone18,3 |
| Motherboard | V57AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 1.61 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
872
162.2 IPS |
|
|
Image Classification (HP)
|
100% |
1394
259.3 IPS |
|
|
Image Classification (Q)
|
96% |
886
165.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
790
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1259
20.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1336
21.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4406
5.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
8081
9.43 IPS |
|
|
Pose Estimation (Q)
|
95% |
6872
8.05 IPS |
|
|
Object Detection (SP)
|
100% |
1066
84.6 IPS |
|
|
Object Detection (HP)
|
97% |
1654
131.6 IPS |
|
|
Object Detection (Q)
|
94% |
1139
90.8 IPS |
|
|
Face Detection (SP)
|
100% |
1548
18.4 IPS |
|
|
Face Detection (HP)
|
100% |
2948
35.0 IPS |
|
|
Face Detection (Q)
|
100% |
1672
19.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3627
27.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
5941
45.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
4138
32.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9774
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
15863
20.4 IPS |
|
|
Style Transfer (Q)
|
96% |
12920
16.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2405
88.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2989
110.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2097
77.4 IPS |
|
|
Text Classification (SP)
|
100% |
1388
1.85 KIPS |
|
|
Text Classification (HP)
|
99% |
2510
3.35 KIPS |
|
|
Text Classification (Q)
|
93% |
2498
3.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1721
29.6 IPS |
|
|
Machine Translation (HP)
|
98% |
2743
47.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2767
47.8 IPS |
