iPhone18,3
Geekbench AI Score
4467
Single Precision Score
35154
Half Precision Score
48453
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | zisu320 |
| Upload Date | November 28 2025 07:03 AM |
| Views | 3 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2141
398.2 IPS |
|
|
Image Classification (HP)
|
100% |
16078
2.99 KIPS |
|
|
Image Classification (Q)
|
97% |
21733
4.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1798
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18376
297.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
22775
369.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8293
9.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
146945
171.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
278323
326.2 IPS |
|
|
Object Detection (SP)
|
100% |
2414
191.5 IPS |
|
|
Object Detection (HP)
|
100% |
17531
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25598
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
3417
40.6 IPS |
|
|
Face Detection (HP)
|
100% |
40085
476.3 IPS |
|
|
Face Detection (Q)
|
100% |
54792
651.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7710
59.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
99481
766.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
163083
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
20944
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
244416
314.2 IPS |
|
|
Style Transfer (Q)
|
96% |
344155
444.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5053
186.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56850
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84044
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3510
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6278
8.38 KIPS |
|
|
Text Classification (Q)
|
93% |
6406
8.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4196
72.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10887
187.5 IPS |
|
|
Machine Translation (Q)
|
98% |
12217
211.1 IPS |
