iPhone18,1
Geekbench AI Score
9090
Single Precision Score
16626
Half Precision Score
17218
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | PhillyBass |
| Upload Date | October 24 2025 11:24 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4269
793.9 IPS |
|
|
Image Classification (HP)
|
100% |
8082
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7545
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6137
99.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9635
156.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10604
171.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
20528
24.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
54494
63.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
59822
70.1 IPS |
|
|
Object Detection (SP)
|
100% |
4406
349.5 IPS |
|
|
Object Detection (HP)
|
100% |
8155
646.8 IPS |
|
|
Object Detection (Q)
|
93% |
8053
642.4 IPS |
|
|
Face Detection (SP)
|
100% |
11972
142.3 IPS |
|
|
Face Detection (HP)
|
100% |
23174
275.4 IPS |
|
|
Face Detection (Q)
|
100% |
18201
216.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18147
139.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
35612
274.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
39610
309.3 IPS |
|
|
Style Transfer (SP)
|
100% |
44290
56.9 IPS |
|
|
Style Transfer (HP)
|
100% |
96436
124.0 IPS |
|
|
Style Transfer (Q)
|
96% |
121343
156.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10438
385.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19095
705.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22558
833.0 IPS |
|
|
Text Classification (SP)
|
100% |
3244
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
6518
8.70 KIPS |
|
|
Text Classification (Q)
|
93% |
6180
8.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
4993
86.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4709
81.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4873
84.2 IPS |
