iPhone18,1
Geekbench AI Score
5000
Single Precision Score
36163
Half Precision Score
49656
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | halans |
| Upload Date | September 19 2025 03:57 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2331
433.5 IPS |
|
|
Image Classification (HP)
|
100% |
16883
3.14 KIPS |
|
|
Image Classification (Q)
|
97% |
21968
4.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2115
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19663
318.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24420
395.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9533
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
145645
169.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
276389
323.9 IPS |
|
|
Object Detection (SP)
|
100% |
2468
195.8 IPS |
|
|
Object Detection (HP)
|
100% |
17620
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25251
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4323
51.4 IPS |
|
|
Face Detection (HP)
|
100% |
40650
483.0 IPS |
|
|
Face Detection (Q)
|
100% |
56585
672.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8265
63.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
103817
799.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
173918
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
23668
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
259024
333.0 IPS |
|
|
Style Transfer (Q)
|
96% |
350647
452.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5438
200.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57436
2.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87292
3.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3530
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6434
8.59 KIPS |
|
|
Text Classification (Q)
|
93% |
6407
8.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
5195
89.5 IPS |
|
|
Machine Translation (HP)
|
100% |
11117
191.5 IPS |
|
|
Machine Translation (Q)
|
98% |
12614
218.0 IPS |
