iPhone18,3
Geekbench AI Score
4591
Single Precision Score
7715
Half Precision Score
6139
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 14 2025 01:58 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 | 4.16 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2147
399.4 IPS |
|
|
Image Classification (HP)
|
100% |
3465
644.5 IPS |
|
|
Image Classification (Q)
|
96% |
2357
440.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1826
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2924
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3262
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9656
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18071
21.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15628
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2436
193.2 IPS |
|
|
Object Detection (HP)
|
97% |
3938
313.5 IPS |
|
|
Object Detection (Q)
|
94% |
2654
211.6 IPS |
|
|
Face Detection (SP)
|
100% |
3476
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
7040
83.6 IPS |
|
|
Face Detection (Q)
|
100% |
3938
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7952
61.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13449
104.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9461
73.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21283
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
36216
46.6 IPS |
|
|
Style Transfer (Q)
|
96% |
29807
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5231
193.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6711
247.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4837
178.6 IPS |
|
|
Text Classification (SP)
|
100% |
3586
4.79 KIPS |
|
|
Text Classification (HP)
|
99% |
6564
8.76 KIPS |
|
|
Text Classification (Q)
|
93% |
6453
8.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
4088
70.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6868
118.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6880
118.9 IPS |
