iPhone18,3
Geekbench AI Score
4596
Single Precision Score
7709
Half Precision Score
6129
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 02:41 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2163
402.2 IPS |
|
|
Image Classification (HP)
|
100% |
3482
647.5 IPS |
|
|
Image Classification (Q)
|
96% |
2351
439.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1839
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2891
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3272
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9482
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18292
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15407
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2437
193.3 IPS |
|
|
Object Detection (HP)
|
97% |
3921
312.2 IPS |
|
|
Object Detection (Q)
|
94% |
2666
212.5 IPS |
|
|
Face Detection (SP)
|
100% |
3539
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
7031
83.5 IPS |
|
|
Face Detection (Q)
|
100% |
3936
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7906
60.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13574
104.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9463
73.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21304
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
36660
47.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30057
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5273
194.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6804
251.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4888
180.5 IPS |
|
|
Text Classification (SP)
|
100% |
3534
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6433
8.59 KIPS |
|
|
Text Classification (Q)
|
93% |
6332
8.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4122
71.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6708
115.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6837
118.1 IPS |
