iPhone18,3
Geekbench AI Score
4674
Single Precision Score
7793
Half Precision Score
6208
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 26 2025 08:16 PM |
| 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2204
409.9 IPS |
|
|
Image Classification (HP)
|
100% |
3551
660.3 IPS |
|
|
Image Classification (Q)
|
96% |
2394
447.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1892
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2981
48.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3270
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9593
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18575
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15847
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
2484
197.0 IPS |
|
|
Object Detection (HP)
|
97% |
4030
320.8 IPS |
|
|
Object Detection (Q)
|
94% |
2753
219.5 IPS |
|
|
Face Detection (SP)
|
100% |
3685
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
7171
85.2 IPS |
|
|
Face Detection (Q)
|
100% |
4071
48.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8255
63.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13692
105.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9789
76.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22051
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37595
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30912
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5405
199.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6778
250.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4957
183.0 IPS |
|
|
Text Classification (SP)
|
100% |
3258
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
6091
8.13 KIPS |
|
|
Text Classification (Q)
|
93% |
6010
8.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
4244
73.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6850
118.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6787
117.3 IPS |
