iPhone18,3
Geekbench AI Score
4603
Single Precision Score
7711
Half Precision Score
6087
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 11:21 AM |
| Views | 1 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2192
407.7 IPS |
|
|
Image Classification (HP)
|
100% |
3536
657.6 IPS |
|
|
Image Classification (Q)
|
96% |
2380
444.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1885
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2920
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3254
52.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9226
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
17821
20.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14953
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2397
190.1 IPS |
|
|
Object Detection (HP)
|
97% |
3937
313.5 IPS |
|
|
Object Detection (Q)
|
94% |
2615
208.5 IPS |
|
|
Face Detection (SP)
|
100% |
3556
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
6996
83.1 IPS |
|
|
Face Detection (Q)
|
100% |
3797
45.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7970
61.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13168
101.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9277
72.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21296
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
36629
47.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30246
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5290
195.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6901
254.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4895
180.8 IPS |
|
|
Text Classification (SP)
|
100% |
3500
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
6456
8.62 KIPS |
|
|
Text Classification (Q)
|
93% |
6435
8.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
4183
72.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6830
118.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6880
118.9 IPS |
