iPhone18,1
Geekbench AI Score
5090
Single Precision Score
36008
Half Precision Score
49515
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ElectricBurgers |
| Upload Date | October 18 2025 04:40 AM |
| Views | 6 |
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% |
2321
431.7 IPS |
|
|
Image Classification (HP)
|
100% |
16229
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
21992
4.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2127
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19846
321.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
25502
413.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10368
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
159312
185.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
293697
344.2 IPS |
|
|
Object Detection (SP)
|
100% |
2620
207.8 IPS |
|
|
Object Detection (HP)
|
100% |
17625
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25543
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4595
54.6 IPS |
|
|
Face Detection (HP)
|
100% |
40242
478.2 IPS |
|
|
Face Detection (Q)
|
100% |
54756
650.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8417
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
104477
804.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
168779
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
24658
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
259094
333.1 IPS |
|
|
Style Transfer (Q)
|
96% |
351823
454.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5479
202.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55986
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86318
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3271
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
6094
8.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5978
8.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
5096
87.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10904
187.8 IPS |
|
|
Machine Translation (Q)
|
98% |
12551
216.9 IPS |
