iPhone18,1
Geekbench AI Score
5091
Single Precision Score
8267
Half Precision Score
6441
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | pixelcort |
| Upload Date | September 28 2025 03:49 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2319
431.3 IPS |
|
|
Image Classification (HP)
|
100% |
3660
680.6 IPS |
|
|
Image Classification (Q)
|
96% |
2415
451.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2185
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3039
49.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3340
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10341
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18209
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15611
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2537
201.2 IPS |
|
|
Object Detection (HP)
|
97% |
4088
325.4 IPS |
|
|
Object Detection (Q)
|
94% |
2723
217.1 IPS |
|
|
Face Detection (SP)
|
100% |
4412
52.4 IPS |
|
|
Face Detection (HP)
|
100% |
8233
97.8 IPS |
|
|
Face Detection (Q)
|
100% |
4209
50.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8209
63.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13902
107.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9749
76.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23980
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37045
47.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30494
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5472
202.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7142
263.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4886
180.4 IPS |
|
|
Text Classification (SP)
|
100% |
3511
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6360
8.49 KIPS |
|
|
Text Classification (Q)
|
93% |
6305
8.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
5277
90.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9354
161.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9305
160.8 IPS |
