iPhone18,3
Geekbench AI Score
1991
Single Precision Score
14731
Half Precision Score
20350
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Xabla |
| Upload Date | October 26 2025 02:42 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
899
167.2 IPS |
|
|
Image Classification (HP)
|
100% |
7428
1.38 KIPS |
|
|
Image Classification (Q)
|
97% |
10134
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
788
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8560
138.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
11477
186.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4003
4.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
61476
71.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
119136
139.6 IPS |
|
|
Object Detection (SP)
|
100% |
1066
84.5 IPS |
|
|
Object Detection (HP)
|
100% |
6968
552.7 IPS |
|
|
Object Detection (Q)
|
91% |
9578
765.3 IPS |
|
|
Face Detection (SP)
|
100% |
1564
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
16833
200.0 IPS |
|
|
Face Detection (Q)
|
100% |
23548
279.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3630
28.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
41535
320.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
71547
559.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9963
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
109234
140.4 IPS |
|
|
Style Transfer (Q)
|
96% |
143758
185.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2402
88.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23854
880.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35391
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
1378
1.84 KIPS |
|
|
Text Classification (HP)
|
99% |
2495
3.33 KIPS |
|
|
Text Classification (Q)
|
93% |
2481
3.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1731
29.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3888
67.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4316
74.6 IPS |
