iPhone18,3
Geekbench AI Score
4513
Single Precision Score
7559
Half Precision Score
5913
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 10:47 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2158
401.3 IPS |
|
|
Image Classification (HP)
|
100% |
3484
647.8 IPS |
|
|
Image Classification (Q)
|
96% |
2342
437.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1809
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2861
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3163
51.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8951
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17322
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14646
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2376
188.5 IPS |
|
|
Object Detection (HP)
|
97% |
3894
310.0 IPS |
|
|
Object Detection (Q)
|
94% |
2583
205.9 IPS |
|
|
Face Detection (SP)
|
100% |
3484
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
6888
81.8 IPS |
|
|
Face Detection (Q)
|
100% |
3753
44.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7979
61.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13130
101.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9314
72.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21070
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
36029
46.3 IPS |
|
|
Style Transfer (Q)
|
96% |
29816
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5116
188.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6729
248.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4276
157.9 IPS |
|
|
Text Classification (SP)
|
100% |
3475
4.64 KIPS |
|
|
Text Classification (HP)
|
99% |
6418
8.57 KIPS |
|
|
Text Classification (Q)
|
93% |
6368
8.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4062
70.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6441
111.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6573
113.6 IPS |
