iPhone18,1
Geekbench AI Score
9077
Single Precision Score
16468
Half Precision Score
16995
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ElectricBurgers |
| Upload Date | October 18 2025 04:43 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4185
778.3 IPS |
|
|
Image Classification (HP)
|
100% |
8173
1.52 KIPS |
|
|
Image Classification (Q)
|
97% |
7550
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6017
97.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9494
153.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10540
170.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
20199
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
53924
62.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
58934
69.1 IPS |
|
|
Object Detection (SP)
|
100% |
4354
345.4 IPS |
|
|
Object Detection (HP)
|
100% |
8073
640.3 IPS |
|
|
Object Detection (Q)
|
93% |
8046
641.9 IPS |
|
|
Face Detection (SP)
|
100% |
11472
136.3 IPS |
|
|
Face Detection (HP)
|
100% |
23005
273.4 IPS |
|
|
Face Detection (Q)
|
100% |
17492
207.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
17852
137.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
34983
269.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
37859
295.6 IPS |
|
|
Style Transfer (SP)
|
100% |
43310
55.7 IPS |
|
|
Style Transfer (HP)
|
100% |
95797
123.1 IPS |
|
|
Style Transfer (Q)
|
96% |
119888
154.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10415
384.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18841
695.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22324
824.3 IPS |
|
|
Text Classification (SP)
|
100% |
3557
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6410
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
6351
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
5221
89.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4665
80.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4735
81.8 IPS |
