iPhone18,3
Geekbench AI Score
4386
Single Precision Score
34636
Half Precision Score
47556
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 21 2025 01:13 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2113
392.9 IPS |
|
|
Image Classification (HP)
|
100% |
15834
2.94 KIPS |
|
|
Image Classification (Q)
|
97% |
21788
4.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1763
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18345
297.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
22969
372.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7828
9.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
140441
163.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
264897
310.5 IPS |
|
|
Object Detection (SP)
|
100% |
2342
185.8 IPS |
|
|
Object Detection (HP)
|
100% |
17314
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24554
1.96 KIPS |
|
|
Face Detection (SP)
|
100% |
3429
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
38432
456.7 IPS |
|
|
Face Detection (Q)
|
100% |
49625
589.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7958
61.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
99048
763.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
161640
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
20451
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
244029
313.7 IPS |
|
|
Style Transfer (Q)
|
96% |
344357
444.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4989
184.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54917
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83458
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3477
4.64 KIPS |
|
|
Text Classification (HP)
|
99% |
6304
8.41 KIPS |
|
|
Text Classification (Q)
|
93% |
6433
8.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3988
68.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10940
188.4 IPS |
|
|
Machine Translation (Q)
|
98% |
12258
211.8 IPS |
