iPhone18,1
Geekbench AI Score
5004
Single Precision Score
8213
Half Precision Score
6422
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 07:38 PM |
| Views | 1 |
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 | 4.19 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2321
431.6 IPS |
|
|
Image Classification (HP)
|
100% |
3664
681.4 IPS |
|
|
Image Classification (Q)
|
96% |
2445
456.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2132
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3019
48.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3408
55.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9975
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18223
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15553
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2538
201.3 IPS |
|
|
Object Detection (HP)
|
97% |
4072
324.2 IPS |
|
|
Object Detection (Q)
|
94% |
2607
207.8 IPS |
|
|
Face Detection (SP)
|
100% |
4080
48.5 IPS |
|
|
Face Detection (HP)
|
100% |
8135
96.7 IPS |
|
|
Face Detection (Q)
|
100% |
4166
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8130
62.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13673
105.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9612
75.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24097
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37319
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30605
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5420
200.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6901
254.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4838
178.6 IPS |
|
|
Text Classification (SP)
|
100% |
3536
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6401
8.54 KIPS |
|
|
Text Classification (Q)
|
93% |
6404
8.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
5134
88.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9289
160.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9314
161.0 IPS |
