iPhone18,1
Geekbench AI Score
5128
Single Precision Score
8382
Half Precision Score
6622
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 06:08 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2325
432.3 IPS |
|
|
Image Classification (HP)
|
100% |
3759
699.0 IPS |
|
|
Image Classification (Q)
|
96% |
2503
467.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2153
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2997
48.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3441
55.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10648
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19405
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16383
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2581
204.8 IPS |
|
|
Object Detection (HP)
|
97% |
4177
332.5 IPS |
|
|
Object Detection (Q)
|
94% |
2886
230.1 IPS |
|
|
Face Detection (SP)
|
100% |
4639
55.1 IPS |
|
|
Face Detection (HP)
|
100% |
8572
101.9 IPS |
|
|
Face Detection (Q)
|
100% |
4445
52.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8405
64.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14245
110.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10095
78.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24312
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38096
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31310
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5561
205.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6984
257.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4962
183.2 IPS |
|
|
Text Classification (SP)
|
100% |
3259
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
6063
8.09 KIPS |
|
|
Text Classification (Q)
|
93% |
6030
8.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
5322
91.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9522
164.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9481
163.8 IPS |
