iPhone18,1
Geekbench AI Score
9096
Single Precision Score
16401
Half Precision Score
16877
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 30 2025 02:15 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4246
789.6 IPS |
|
|
Image Classification (HP)
|
100% |
7939
1.48 KIPS |
|
|
Image Classification (Q)
|
97% |
7494
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6043
98.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9508
154.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10518
170.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
20191
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
53426
62.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
58201
68.2 IPS |
|
|
Object Detection (SP)
|
100% |
4405
349.4 IPS |
|
|
Object Detection (HP)
|
100% |
8080
640.9 IPS |
|
|
Object Detection (Q)
|
93% |
8037
641.2 IPS |
|
|
Face Detection (SP)
|
100% |
11850
140.8 IPS |
|
|
Face Detection (HP)
|
100% |
23130
274.8 IPS |
|
|
Face Detection (Q)
|
100% |
17963
213.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17952
138.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
35697
275.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
38439
300.1 IPS |
|
|
Style Transfer (SP)
|
100% |
43442
55.8 IPS |
|
|
Style Transfer (HP)
|
100% |
93946
120.8 IPS |
|
|
Style Transfer (Q)
|
96% |
119381
154.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10409
384.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18271
674.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22451
829.0 IPS |
|
|
Text Classification (SP)
|
100% |
3537
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6408
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
5946
7.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
4994
86.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4761
82.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4621
79.9 IPS |
