iPhone18,3
Geekbench AI Score
4475
Single Precision Score
7532
Half Precision Score
5922
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | EmilioDSin |
| Upload Date | September 26 2025 08:05 AM |
| Views | 5 |
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 | 4.14 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2115
393.4 IPS |
|
|
Image Classification (HP)
|
100% |
3416
635.3 IPS |
|
|
Image Classification (Q)
|
96% |
2318
432.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1802
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2836
46.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3213
52.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8500
9.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
17659
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14705
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2366
187.7 IPS |
|
|
Object Detection (HP)
|
97% |
3819
304.1 IPS |
|
|
Object Detection (Q)
|
94% |
2542
202.6 IPS |
|
|
Face Detection (SP)
|
100% |
3459
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
6856
81.5 IPS |
|
|
Face Detection (Q)
|
100% |
3740
44.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7873
60.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13187
101.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9233
72.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20923
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35148
45.2 IPS |
|
|
Style Transfer (Q)
|
96% |
28750
37.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5016
185.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6632
244.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4745
175.2 IPS |
|
|
Text Classification (SP)
|
100% |
3567
4.76 KIPS |
|
|
Text Classification (HP)
|
99% |
6318
8.43 KIPS |
|
|
Text Classification (Q)
|
93% |
6264
8.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
4126
71.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6756
116.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6464
111.7 IPS |
