iPhone18,1
Geekbench AI Score
8997
Single Precision Score
16898
Half Precision Score
17466
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | dangeredwolf |
| Upload Date | October 21 2025 05:26 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
4243
789.1 IPS |
|
|
Image Classification (HP)
|
100% |
8047
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7561
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6081
98.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9539
154.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10560
171.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
20383
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
54062
63.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
59568
69.8 IPS |
|
|
Object Detection (SP)
|
100% |
4404
349.4 IPS |
|
|
Object Detection (HP)
|
100% |
8075
640.6 IPS |
|
|
Object Detection (Q)
|
93% |
8067
643.6 IPS |
|
|
Face Detection (SP)
|
100% |
11557
137.3 IPS |
|
|
Face Detection (HP)
|
100% |
23306
276.9 IPS |
|
|
Face Detection (Q)
|
100% |
17712
210.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17997
138.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
35139
270.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
38058
297.1 IPS |
|
|
Style Transfer (SP)
|
100% |
43723
56.2 IPS |
|
|
Style Transfer (HP)
|
100% |
96493
124.0 IPS |
|
|
Style Transfer (Q)
|
96% |
120196
155.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10447
385.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19403
716.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22518
831.5 IPS |
|
|
Text Classification (SP)
|
100% |
3207
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
6089
8.13 KIPS |
|
|
Text Classification (Q)
|
93% |
6178
8.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
4928
84.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6071
104.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6112
105.6 IPS |
