iPhone18,1
Geekbench AI Score
5120
Single Precision Score
8267
Half Precision Score
6558
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 10:01 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2352
437.4 IPS |
|
|
Image Classification (HP)
|
100% |
3703
688.7 IPS |
|
|
Image Classification (Q)
|
96% |
2467
460.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2127
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3009
48.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3431
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10768
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19169
22.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16458
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2641
209.5 IPS |
|
|
Object Detection (HP)
|
97% |
4127
328.6 IPS |
|
|
Object Detection (Q)
|
94% |
2834
225.9 IPS |
|
|
Face Detection (SP)
|
100% |
4583
54.5 IPS |
|
|
Face Detection (HP)
|
100% |
8402
99.8 IPS |
|
|
Face Detection (Q)
|
100% |
4392
52.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8335
64.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14143
109.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9980
77.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24685
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37807
48.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31278
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5500
203.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6937
256.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4965
183.3 IPS |
|
|
Text Classification (SP)
|
100% |
3237
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5812
7.76 KIPS |
|
|
Text Classification (Q)
|
93% |
5858
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
5189
89.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9345
161.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9350
161.6 IPS |
