iPhone18,3
Geekbench AI Score
4617
Single Precision Score
35433
Half Precision Score
47939
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 07:37 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone18,3 |
| Model ID | iPhone18,3 |
| Motherboard | V57AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2199
409.0 IPS |
|
|
Image Classification (HP)
|
100% |
15760
2.93 KIPS |
|
|
Image Classification (Q)
|
97% |
20970
3.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1825
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18814
305.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24210
392.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8896
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
156722
182.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
299477
351.0 IPS |
|
|
Object Detection (SP)
|
100% |
2485
197.1 IPS |
|
|
Object Detection (HP)
|
100% |
17343
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
24267
1.94 KIPS |
|
|
Face Detection (SP)
|
100% |
3655
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
39803
472.9 IPS |
|
|
Face Detection (Q)
|
100% |
50406
598.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8138
62.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
101656
783.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
160070
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
21427
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
251721
323.6 IPS |
|
|
Style Transfer (Q)
|
96% |
345331
445.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5234
193.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54734
2.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84075
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3548
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6370
8.50 KIPS |
|
|
Text Classification (Q)
|
93% |
6369
8.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4195
72.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10900
187.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11646
201.3 IPS |
