iPhone18,1
Geekbench AI Score
5166
Single Precision Score
8430
Half Precision Score
6634
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 11:31 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2354
437.7 IPS |
|
|
Image Classification (HP)
|
100% |
3750
697.5 IPS |
|
|
Image Classification (Q)
|
96% |
2473
461.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2130
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3076
49.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3506
56.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10629
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19236
22.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16293
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2623
208.1 IPS |
|
|
Object Detection (HP)
|
97% |
4162
331.4 IPS |
|
|
Object Detection (Q)
|
94% |
2822
224.9 IPS |
|
|
Face Detection (SP)
|
100% |
4549
54.1 IPS |
|
|
Face Detection (HP)
|
100% |
8376
99.5 IPS |
|
|
Face Detection (Q)
|
100% |
4314
51.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8509
65.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14275
110.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10058
78.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24673
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38056
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31383
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5440
200.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6992
258.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4986
184.1 IPS |
|
|
Text Classification (SP)
|
100% |
3595
4.80 KIPS |
|
|
Text Classification (HP)
|
99% |
6551
8.74 KIPS |
|
|
Text Classification (Q)
|
93% |
6514
8.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
5194
89.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9425
162.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9369
161.9 IPS |
