iPhone18,3
Geekbench AI Score
4656
Single Precision Score
35450
Half Precision Score
48294
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 15 2025 07:56 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2196
408.3 IPS |
|
|
Image Classification (HP)
|
100% |
15766
2.93 KIPS |
|
|
Image Classification (Q)
|
97% |
22745
4.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1884
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18950
307.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24385
395.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8717
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
152256
177.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
286059
335.3 IPS |
|
|
Object Detection (SP)
|
100% |
2484
197.0 IPS |
|
|
Object Detection (HP)
|
100% |
17314
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24338
1.94 KIPS |
|
|
Face Detection (SP)
|
100% |
3704
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
38898
462.2 IPS |
|
|
Face Detection (Q)
|
100% |
48613
577.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8228
63.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
101707
783.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
160384
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
21848
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
251686
323.5 IPS |
|
|
Style Transfer (Q)
|
96% |
345614
446.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5315
196.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56943
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85300
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3562
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6473
8.64 KIPS |
|
|
Text Classification (Q)
|
93% |
6536
8.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
4244
73.1 IPS |
|
|
Machine Translation (HP)
|
100% |
10844
186.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11898
205.6 IPS |
