iPhone18,1
Geekbench AI Score
8950
Single Precision Score
16489
Half Precision Score
17181
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 01:31 AM |
| Views | 2 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4227
786.2 IPS |
|
|
Image Classification (HP)
|
100% |
7852
1.46 KIPS |
|
|
Image Classification (Q)
|
97% |
7377
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5925
96.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9352
151.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10315
167.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
19769
23.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
52274
61.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
56501
66.2 IPS |
|
|
Object Detection (SP)
|
100% |
4354
345.3 IPS |
|
|
Object Detection (HP)
|
100% |
8071
640.2 IPS |
|
|
Object Detection (Q)
|
93% |
8038
641.2 IPS |
|
|
Face Detection (SP)
|
100% |
11609
137.9 IPS |
|
|
Face Detection (HP)
|
100% |
22553
268.0 IPS |
|
|
Face Detection (Q)
|
100% |
17960
213.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17678
136.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
34945
269.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
37943
296.2 IPS |
|
|
Style Transfer (SP)
|
100% |
43044
55.3 IPS |
|
|
Style Transfer (HP)
|
100% |
93521
120.2 IPS |
|
|
Style Transfer (Q)
|
96% |
116792
150.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10263
379.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17528
647.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21975
811.4 IPS |
|
|
Text Classification (SP)
|
100% |
3489
4.66 KIPS |
|
|
Text Classification (HP)
|
99% |
6389
8.53 KIPS |
|
|
Text Classification (Q)
|
93% |
6358
8.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4838
83.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5812
100.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5834
100.8 IPS |
