iPhone18,3
Geekbench AI Score
4700
Single Precision Score
7832
Half Precision Score
6253
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 14 2025 02:53 AM |
| Views | 2 |
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% |
2195
408.2 IPS |
|
|
Image Classification (HP)
|
100% |
3482
647.6 IPS |
|
|
Image Classification (Q)
|
96% |
2375
443.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1864
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2908
47.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3289
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9808
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19003
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15942
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2467
195.7 IPS |
|
|
Object Detection (HP)
|
97% |
4004
318.7 IPS |
|
|
Object Detection (Q)
|
94% |
2755
219.6 IPS |
|
|
Face Detection (SP)
|
100% |
3716
44.2 IPS |
|
|
Face Detection (HP)
|
100% |
7251
86.2 IPS |
|
|
Face Detection (Q)
|
100% |
4053
48.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8090
62.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13702
105.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9743
76.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21665
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
36995
47.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30738
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5392
199.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6926
255.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4917
181.6 IPS |
|
|
Text Classification (SP)
|
100% |
3605
4.81 KIPS |
|
|
Text Classification (HP)
|
99% |
6475
8.64 KIPS |
|
|
Text Classification (Q)
|
93% |
6410
8.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4202
72.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6841
118.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6968
120.4 IPS |
