iPhone18,1
Geekbench AI Score
5176
Single Precision Score
36132
Half Precision Score
48558
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Raymond110168 |
| Upload Date | September 27 2025 05:31 PM |
| Views | 5 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2381
442.7 IPS |
|
|
Image Classification (HP)
|
100% |
16120
3.00 KIPS |
|
|
Image Classification (Q)
|
97% |
21756
4.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2125
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20314
329.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
25498
413.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10572
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
157851
184.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
294336
345.0 IPS |
|
|
Object Detection (SP)
|
100% |
2660
211.0 IPS |
|
|
Object Detection (HP)
|
100% |
17596
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25235
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4695
55.8 IPS |
|
|
Face Detection (HP)
|
100% |
40214
477.8 IPS |
|
|
Face Detection (Q)
|
100% |
48363
574.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8610
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
105044
809.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
164999
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
25246
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
259566
333.7 IPS |
|
|
Style Transfer (Q)
|
96% |
351002
453.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5570
205.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57484
2.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85926
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3304
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
6069
8.10 KIPS |
|
|
Text Classification (Q)
|
93% |
6008
8.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
5168
89.0 IPS |
|
|
Machine Translation (HP)
|
100% |
10901
187.8 IPS |
|
|
Machine Translation (Q)
|
98% |
12234
211.4 IPS |
