iPhone18,3
Geekbench AI Score
4608
Single Precision Score
35571
Half Precision Score
48880
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 13 2025 04:04 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.12 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2189
407.0 IPS |
|
|
Image Classification (HP)
|
100% |
16366
3.04 KIPS |
|
|
Image Classification (Q)
|
97% |
23498
4.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1830
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18718
303.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23244
376.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9291
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
154875
180.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
286549
335.9 IPS |
|
|
Object Detection (SP)
|
100% |
2464
195.5 IPS |
|
|
Object Detection (HP)
|
100% |
17346
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
24407
1.95 KIPS |
|
|
Face Detection (SP)
|
100% |
3688
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
38444
456.8 IPS |
|
|
Face Detection (Q)
|
100% |
53948
641.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8014
61.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
101609
782.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
164501
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
21459
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
248554
319.5 IPS |
|
|
Style Transfer (Q)
|
96% |
347612
448.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5043
186.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57487
2.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85951
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3525
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6400
8.54 KIPS |
|
|
Text Classification (Q)
|
93% |
6355
8.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4177
72.0 IPS |
|
|
Machine Translation (HP)
|
100% |
11033
190.0 IPS |
|
|
Machine Translation (Q)
|
98% |
12098
209.1 IPS |
