iPhone18,1
Geekbench AI Score
9096
Single Precision Score
16466
Half Precision Score
17103
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 09:41 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone18,1 |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.24 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% |
8051
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7406
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6087
98.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9580
155.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10590
171.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
20391
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
54015
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
58975
69.1 IPS |
|
|
Object Detection (SP)
|
100% |
4405
349.4 IPS |
|
|
Object Detection (HP)
|
100% |
8099
642.4 IPS |
|
|
Object Detection (Q)
|
93% |
8058
642.8 IPS |
|
|
Face Detection (SP)
|
100% |
11801
140.2 IPS |
|
|
Face Detection (HP)
|
100% |
23168
275.3 IPS |
|
|
Face Detection (Q)
|
100% |
17965
213.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18038
139.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
35401
272.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
39076
305.1 IPS |
|
|
Style Transfer (SP)
|
100% |
43732
56.2 IPS |
|
|
Style Transfer (HP)
|
100% |
95841
123.2 IPS |
|
|
Style Transfer (Q)
|
96% |
120281
155.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10402
384.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18610
687.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22786
841.4 IPS |
|
|
Text Classification (SP)
|
100% |
3301
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
6139
8.19 KIPS |
|
|
Text Classification (Q)
|
93% |
6085
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
5201
89.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4838
83.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4910
84.8 IPS |
