iPhone18,3
Geekbench AI Score
4509
Single Precision Score
7511
Half Precision Score
5988
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 16 2025 05:08 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 | 4.24 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2145
399.0 IPS |
|
|
Image Classification (HP)
|
100% |
3445
640.7 IPS |
|
|
Image Classification (Q)
|
96% |
2342
437.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1862
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2877
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3239
52.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8502
9.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
17000
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14405
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
2323
184.3 IPS |
|
|
Object Detection (HP)
|
97% |
3883
309.2 IPS |
|
|
Object Detection (Q)
|
94% |
2634
209.9 IPS |
|
|
Face Detection (SP)
|
100% |
3566
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
6952
82.6 IPS |
|
|
Face Detection (Q)
|
100% |
3874
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7918
61.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13243
102.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9381
73.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21036
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35555
45.7 IPS |
|
|
Style Transfer (Q)
|
96% |
29309
37.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5067
187.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6352
234.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4536
167.5 IPS |
|
|
Text Classification (SP)
|
100% |
3595
4.80 KIPS |
|
|
Text Classification (HP)
|
99% |
6493
8.67 KIPS |
|
|
Text Classification (Q)
|
93% |
6418
8.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
4077
70.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6476
111.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6650
114.9 IPS |
