iPhone18,1
Geekbench AI Score
5143
Single Precision Score
36071
Half Precision Score
49132
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 11:40 AM |
| Views | 1 |
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% |
2357
438.4 IPS |
|
|
Image Classification (HP)
|
100% |
16178
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
22502
4.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2123
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20437
331.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
26083
422.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10829
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
157026
183.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
292418
342.7 IPS |
|
|
Object Detection (SP)
|
100% |
2687
213.1 IPS |
|
|
Object Detection (HP)
|
100% |
17621
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25108
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4650
55.2 IPS |
|
|
Face Detection (HP)
|
100% |
40842
485.3 IPS |
|
|
Face Detection (Q)
|
100% |
53372
634.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8455
65.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
105031
809.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
166193
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
24493
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
259039
333.0 IPS |
|
|
Style Transfer (Q)
|
96% |
351967
454.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5542
204.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56613
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85195
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3240
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5874
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5829
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
5146
88.6 IPS |
|
|
Machine Translation (HP)
|
100% |
11031
190.0 IPS |
|
|
Machine Translation (Q)
|
98% |
12271
212.1 IPS |
