iPhone18,3
Geekbench AI Score
4679
Single Precision Score
7843
Half Precision Score
6207
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 10:58 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2178
405.0 IPS |
|
|
Image Classification (HP)
|
100% |
3520
654.6 IPS |
|
|
Image Classification (Q)
|
96% |
2392
446.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1863
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2965
48.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3344
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9678
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18389
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15636
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2436
193.2 IPS |
|
|
Object Detection (HP)
|
97% |
3974
316.3 IPS |
|
|
Object Detection (Q)
|
94% |
2776
221.3 IPS |
|
|
Face Detection (SP)
|
100% |
3622
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
7251
86.2 IPS |
|
|
Face Detection (Q)
|
100% |
4068
48.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8049
62.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13849
107.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9670
75.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21703
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38453
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30783
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5414
199.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6976
257.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4983
184.0 IPS |
|
|
Text Classification (SP)
|
100% |
3640
4.86 KIPS |
|
|
Text Classification (HP)
|
99% |
6159
8.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5976
8.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
4225
72.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6967
120.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6780
117.2 IPS |
