iPhone18,1
Geekbench AI Score
9127
Single Precision Score
16953
Half Precision Score
17535
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 24 2025 12:17 PM |
| Views | 1 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4243
789.1 IPS |
|
|
Image Classification (HP)
|
100% |
8170
1.52 KIPS |
|
|
Image Classification (Q)
|
97% |
7561
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6086
98.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9554
154.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10584
171.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
20359
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
54095
63.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
59042
69.2 IPS |
|
|
Object Detection (SP)
|
100% |
4403
349.2 IPS |
|
|
Object Detection (HP)
|
100% |
8058
639.2 IPS |
|
|
Object Detection (Q)
|
93% |
8102
646.4 IPS |
|
|
Face Detection (SP)
|
100% |
11848
140.8 IPS |
|
|
Face Detection (HP)
|
100% |
23220
275.9 IPS |
|
|
Face Detection (Q)
|
100% |
17967
213.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18071
139.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
35591
274.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
38880
303.6 IPS |
|
|
Style Transfer (SP)
|
100% |
44005
56.6 IPS |
|
|
Style Transfer (HP)
|
100% |
96424
124.0 IPS |
|
|
Style Transfer (Q)
|
96% |
120131
155.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10412
384.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18677
689.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22336
824.8 IPS |
|
|
Text Classification (SP)
|
100% |
3516
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6414
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
6307
8.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
5025
86.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6040
104.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6075
105.0 IPS |
