iPhone18,1
Geekbench AI Score
4741
Single Precision Score
35579
Half Precision Score
49657
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | cloudit0 |
| Upload Date | September 26 2025 01:35 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone18,1 |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| 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 | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2340
435.2 IPS |
|
|
Image Classification (HP)
|
100% |
16462
3.06 KIPS |
|
|
Image Classification (Q)
|
97% |
22814
4.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2120
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19756
320.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24554
398.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9424
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
145546
169.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
279721
327.9 IPS |
|
|
Object Detection (SP)
|
100% |
2487
197.3 IPS |
|
|
Object Detection (HP)
|
100% |
18090
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
25824
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4126
49.0 IPS |
|
|
Face Detection (HP)
|
100% |
39991
475.2 IPS |
|
|
Face Detection (Q)
|
100% |
58106
690.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6897
53.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
98981
762.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
164858
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
21668
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
252168
324.2 IPS |
|
|
Style Transfer (Q)
|
96% |
342347
441.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4987
184.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55601
2.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87060
3.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3560
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6180
8.25 KIPS |
|
|
Text Classification (Q)
|
93% |
6385
8.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
4512
77.7 IPS |
|
|
Machine Translation (HP)
|
100% |
11070
190.7 IPS |
|
|
Machine Translation (Q)
|
98% |
12360
213.6 IPS |
