iPhone18,1
Geekbench AI Score
5147
Single Precision Score
36421
Half Precision Score
49722
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | preben |
| Upload Date | October 13 2025 07:07 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPhone18,1 |
| 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% |
2372
441.1 IPS |
|
|
Image Classification (HP)
|
100% |
16523
3.07 KIPS |
|
|
Image Classification (Q)
|
97% |
22576
4.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2124
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19973
323.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
25501
413.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10700
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
156373
182.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
285165
334.2 IPS |
|
|
Object Detection (SP)
|
100% |
2560
203.1 IPS |
|
|
Object Detection (HP)
|
100% |
17465
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25043
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4509
53.6 IPS |
|
|
Face Detection (HP)
|
100% |
40854
485.4 IPS |
|
|
Face Detection (Q)
|
100% |
55132
655.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8372
64.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
107250
826.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
172518
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
24040
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
257221
330.7 IPS |
|
|
Style Transfer (Q)
|
96% |
350680
452.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5601
206.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56758
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84827
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3528
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6354
8.48 KIPS |
|
|
Text Classification (Q)
|
93% |
6333
8.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
5281
91.0 IPS |
|
|
Machine Translation (HP)
|
100% |
11214
193.2 IPS |
|
|
Machine Translation (Q)
|
98% |
12539
216.7 IPS |
