iPhone18,1
Geekbench AI Score
4338
Single Precision Score
7053
Half Precision Score
5794
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 04:28 AM |
| 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 | 4.18 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1979
368.0 IPS |
|
|
Image Classification (HP)
|
100% |
3391
630.6 IPS |
|
|
Image Classification (Q)
|
96% |
2159
403.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1823
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2576
41.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2956
47.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7771
9.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
15298
17.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12839
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
2198
174.4 IPS |
|
|
Object Detection (HP)
|
97% |
3491
277.9 IPS |
|
|
Object Detection (Q)
|
94% |
2458
195.9 IPS |
|
|
Face Detection (SP)
|
100% |
3193
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
7355
87.4 IPS |
|
|
Face Detection (Q)
|
100% |
3781
44.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7394
57.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
12431
96.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9007
70.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22201
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
22054
28.4 IPS |
|
|
Style Transfer (Q)
|
96% |
26313
34.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4798
177.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6627
244.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4807
177.5 IPS |
|
|
Text Classification (SP)
|
100% |
3545
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6754
9.02 KIPS |
|
|
Text Classification (Q)
|
93% |
6616
8.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
4302
74.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7238
125.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7438
128.5 IPS |
