iPhone18,3
Geekbench AI Score
4373
Single Precision Score
34817
Half Precision Score
47392
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 04 2025 11:47 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2160
401.7 IPS |
|
|
Image Classification (HP)
|
100% |
15765
2.93 KIPS |
|
|
Image Classification (Q)
|
97% |
22062
4.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1857
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18590
301.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
22683
367.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7562
8.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
141961
165.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
265697
311.4 IPS |
|
|
Object Detection (SP)
|
100% |
2312
183.4 IPS |
|
|
Object Detection (HP)
|
100% |
17320
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24558
1.96 KIPS |
|
|
Face Detection (SP)
|
100% |
3300
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
39270
466.6 IPS |
|
|
Face Detection (Q)
|
100% |
50470
599.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7758
59.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
99188
764.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
160726
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
20115
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
239621
308.0 IPS |
|
|
Style Transfer (Q)
|
96% |
343613
443.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4927
181.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55315
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84370
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3544
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6497
8.67 KIPS |
|
|
Text Classification (Q)
|
93% |
6349
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
4057
69.9 IPS |
|
|
Machine Translation (HP)
|
100% |
10832
186.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11725
202.6 IPS |
