iPhone18,1
Geekbench AI Score
5128
Single Precision Score
36456
Half Precision Score
49901
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | bgh0809 |
| Upload Date | October 26 2025 10:15 AM |
| Views | 4 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2343
435.7 IPS |
|
|
Image Classification (HP)
|
100% |
16139
3.00 KIPS |
|
|
Image Classification (Q)
|
97% |
21456
4.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2134
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
20454
331.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
26017
421.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10260
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
154844
180.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
287594
337.1 IPS |
|
|
Object Detection (SP)
|
100% |
2643
209.7 IPS |
|
|
Object Detection (HP)
|
100% |
17513
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25809
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4560
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
40291
478.7 IPS |
|
|
Face Detection (Q)
|
100% |
54376
646.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8224
63.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
104800
807.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
172158
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
24258
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
259075
333.0 IPS |
|
|
Style Transfer (Q)
|
96% |
350609
452.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5473
202.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55450
2.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85039
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3566
4.76 KIPS |
|
|
Text Classification (HP)
|
99% |
6687
8.93 KIPS |
|
|
Text Classification (Q)
|
93% |
6568
8.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
5230
90.1 IPS |
|
|
Machine Translation (HP)
|
100% |
11420
196.7 IPS |
|
|
Machine Translation (Q)
|
98% |
12606
217.8 IPS |
