iPhone18,3
Geekbench AI Score
4221
Single Precision Score
6630
Half Precision Score
5707
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | jkochar |
| Upload Date | October 05 2025 12:32 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2084
387.6 IPS |
|
|
Image Classification (HP)
|
100% |
3478
646.8 IPS |
|
|
Image Classification (Q)
|
96% |
2218
414.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1784
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2747
44.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3028
49.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8573
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
15666
18.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12854
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1865
147.9 IPS |
|
|
Object Detection (HP)
|
97% |
3333
265.3 IPS |
|
|
Object Detection (Q)
|
94% |
2473
197.1 IPS |
|
|
Face Detection (SP)
|
100% |
3377
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
5660
67.3 IPS |
|
|
Face Detection (Q)
|
100% |
3654
43.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7455
57.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
11698
90.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9070
70.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19352
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
33467
43.0 IPS |
|
|
Style Transfer (Q)
|
96% |
29079
37.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4283
158.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6317
233.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4847
179.0 IPS |
|
|
Text Classification (SP)
|
100% |
3706
4.95 KIPS |
|
|
Text Classification (HP)
|
99% |
6810
9.09 KIPS |
|
|
Text Classification (Q)
|
93% |
6917
9.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3909
67.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3456
59.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5314
91.8 IPS |
