iPhone18,3
Geekbench AI Score
4535
Single Precision Score
7621
Half Precision Score
6030
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 10 2025 06:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2186
406.6 IPS |
|
|
Image Classification (HP)
|
100% |
3449
641.4 IPS |
|
|
Image Classification (Q)
|
96% |
2347
438.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1824
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2841
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3234
52.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9237
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
17529
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14861
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2382
188.9 IPS |
|
|
Object Detection (HP)
|
97% |
3878
308.7 IPS |
|
|
Object Detection (Q)
|
94% |
2565
204.5 IPS |
|
|
Face Detection (SP)
|
100% |
3320
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
7023
83.5 IPS |
|
|
Face Detection (Q)
|
100% |
3848
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7947
61.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13515
104.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9198
71.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21325
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35781
46.0 IPS |
|
|
Style Transfer (Q)
|
96% |
29624
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5131
189.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6720
248.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4781
176.5 IPS |
|
|
Text Classification (SP)
|
100% |
3498
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
6424
8.57 KIPS |
|
|
Text Classification (Q)
|
93% |
6436
8.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
4160
71.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6769
117.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6819
117.8 IPS |
