iPhone18,1
Geekbench AI Score
4969
Single Precision Score
35945
Half Precision Score
48850
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | danimal99 |
| Upload Date | September 20 2025 11:00 AM |
| Views | 9 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2343
435.7 IPS |
|
|
Image Classification (HP)
|
100% |
16698
3.11 KIPS |
|
|
Image Classification (Q)
|
97% |
22361
4.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2095
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20117
326.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24879
403.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9322
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
145423
169.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
269649
316.0 IPS |
|
|
Object Detection (SP)
|
100% |
2419
191.9 IPS |
|
|
Object Detection (HP)
|
100% |
17558
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25416
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4279
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
40357
479.5 IPS |
|
|
Face Detection (Q)
|
100% |
48673
578.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8309
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
103436
796.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
168545
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
23555
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
252917
325.1 IPS |
|
|
Style Transfer (Q)
|
96% |
351173
453.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5413
199.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55790
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85835
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3563
4.76 KIPS |
|
|
Text Classification (HP)
|
99% |
6284
8.39 KIPS |
|
|
Text Classification (Q)
|
93% |
6528
8.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
5140
88.5 IPS |
|
|
Machine Translation (HP)
|
100% |
11344
195.4 IPS |
|
|
Machine Translation (Q)
|
98% |
12575
217.3 IPS |
