iPhone18,1
Geekbench AI Score
5063
Single Precision Score
36226
Half Precision Score
49360
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | cloudit0 |
| Upload Date | September 27 2025 01:18 PM |
| Views | 8 |
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% |
2334
434.0 IPS |
|
|
Image Classification (HP)
|
100% |
15816
2.94 KIPS |
|
|
Image Classification (Q)
|
97% |
22419
4.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2091
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20277
328.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
25727
417.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9990
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
157970
184.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
297520
348.7 IPS |
|
|
Object Detection (SP)
|
100% |
2556
202.8 IPS |
|
|
Object Detection (HP)
|
100% |
17359
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25258
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4475
53.2 IPS |
|
|
Face Detection (HP)
|
100% |
40444
480.6 IPS |
|
|
Face Detection (Q)
|
100% |
50073
595.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8201
63.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
104526
805.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
172164
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
24358
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
259310
333.3 IPS |
|
|
Style Transfer (Q)
|
96% |
352404
454.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5437
200.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57106
2.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84887
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3524
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6435
8.59 KIPS |
|
|
Text Classification (Q)
|
93% |
6409
8.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
5191
89.4 IPS |
|
|
Machine Translation (HP)
|
100% |
10987
189.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11985
207.1 IPS |
