iPhone18,1
Geekbench AI Score
5028
Single Precision Score
8418
Half Precision Score
6588
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | October 20 2025 08:43 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2339
434.9 IPS |
|
|
Image Classification (HP)
|
100% |
3761
699.4 IPS |
|
|
Image Classification (Q)
|
96% |
2491
465.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2131
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3093
50.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3444
55.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10423
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18682
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15888
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
2591
205.5 IPS |
|
|
Object Detection (HP)
|
97% |
4185
333.2 IPS |
|
|
Object Detection (Q)
|
94% |
2862
228.2 IPS |
|
|
Face Detection (SP)
|
100% |
4543
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
8456
100.5 IPS |
|
|
Face Detection (Q)
|
100% |
4314
51.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8168
62.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14207
109.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9869
77.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24220
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38684
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
29663
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4595
169.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6784
250.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5047
186.4 IPS |
|
|
Text Classification (SP)
|
100% |
3587
4.79 KIPS |
|
|
Text Classification (HP)
|
99% |
6587
8.79 KIPS |
|
|
Text Classification (Q)
|
93% |
6580
8.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
5189
89.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9467
163.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9416
162.7 IPS |
