iPhone18,1
Geekbench AI Score
5035
Single Precision Score
36079
Half Precision Score
49600
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 13 2025 02:57 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2311
429.8 IPS |
|
|
Image Classification (HP)
|
100% |
15937
2.96 KIPS |
|
|
Image Classification (Q)
|
97% |
22080
4.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2083
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
20570
333.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
25668
416.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9702
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
148553
173.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
284737
333.7 IPS |
|
|
Object Detection (SP)
|
100% |
2517
199.7 IPS |
|
|
Object Detection (HP)
|
100% |
17688
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25309
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4459
53.0 IPS |
|
|
Face Detection (HP)
|
100% |
40417
480.2 IPS |
|
|
Face Detection (Q)
|
100% |
53104
631.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8356
64.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
104558
805.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
171589
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
24106
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
255518
328.5 IPS |
|
|
Style Transfer (Q)
|
96% |
350904
452.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5379
198.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57031
2.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85275
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3516
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6381
8.52 KIPS |
|
|
Text Classification (Q)
|
93% |
6411
8.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
5249
90.4 IPS |
|
|
Machine Translation (HP)
|
100% |
11042
190.2 IPS |
|
|
Machine Translation (Q)
|
98% |
12625
218.2 IPS |
