iPhone18,1
Geekbench AI Score
5125
Single Precision Score
35981
Half Precision Score
49002
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 01:58 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2356
438.1 IPS |
|
|
Image Classification (HP)
|
100% |
16103
2.99 KIPS |
|
|
Image Classification (Q)
|
97% |
22210
4.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2149
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
20034
324.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24826
402.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10280
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
158346
184.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
286975
336.4 IPS |
|
|
Object Detection (SP)
|
100% |
2663
211.3 IPS |
|
|
Object Detection (HP)
|
100% |
17256
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
25551
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4472
53.1 IPS |
|
|
Face Detection (HP)
|
100% |
40698
483.6 IPS |
|
|
Face Detection (Q)
|
100% |
54125
643.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8484
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
104700
806.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
166222
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
24759
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
259317
333.4 IPS |
|
|
Style Transfer (Q)
|
96% |
351863
454.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5599
206.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
58685
2.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84686
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3282
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
5787
7.72 KIPS |
|
|
Text Classification (Q)
|
93% |
5974
8.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
5235
90.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10997
189.4 IPS |
|
|
Machine Translation (Q)
|
98% |
12329
213.1 IPS |
