iPhone18,1
Geekbench AI Score
9277
Single Precision Score
16702
Half Precision Score
17291
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Raymond110168 |
| Upload Date | September 27 2025 05:27 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4299
799.5 IPS |
|
|
Image Classification (HP)
|
100% |
8175
1.52 KIPS |
|
|
Image Classification (Q)
|
97% |
7541
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6171
100.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9737
157.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10755
174.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
20655
24.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
54910
64.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
60144
70.5 IPS |
|
|
Object Detection (SP)
|
100% |
4436
351.8 IPS |
|
|
Object Detection (HP)
|
100% |
8202
650.6 IPS |
|
|
Object Detection (Q)
|
93% |
8163
651.2 IPS |
|
|
Face Detection (SP)
|
100% |
11997
142.6 IPS |
|
|
Face Detection (HP)
|
100% |
23473
278.9 IPS |
|
|
Face Detection (Q)
|
100% |
18219
216.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18416
141.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
36302
279.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
39638
309.5 IPS |
|
|
Style Transfer (SP)
|
100% |
44644
57.4 IPS |
|
|
Style Transfer (HP)
|
100% |
96615
124.2 IPS |
|
|
Style Transfer (Q)
|
96% |
122631
158.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10590
391.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19589
723.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22806
842.1 IPS |
|
|
Text Classification (SP)
|
100% |
3528
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6092
8.13 KIPS |
|
|
Text Classification (Q)
|
93% |
6064
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
5274
90.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4798
82.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4901
84.7 IPS |
