iPhone18,1
Geekbench AI Score
4923
Single Precision Score
8184
Half Precision Score
6321
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | November 04 2025 10:49 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPhone18,1 |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2210
410.9 IPS |
|
|
Image Classification (HP)
|
100% |
3719
691.7 IPS |
|
|
Image Classification (Q)
|
96% |
2420
452.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2074
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2900
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3099
50.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9074
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17550
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14815
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2413
191.4 IPS |
|
|
Object Detection (HP)
|
97% |
4051
322.5 IPS |
|
|
Object Detection (Q)
|
94% |
2663
212.3 IPS |
|
|
Face Detection (SP)
|
100% |
4237
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
8071
95.9 IPS |
|
|
Face Detection (Q)
|
100% |
4102
48.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8233
63.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13713
106.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9392
73.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23551
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36984
47.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30591
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5545
204.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6904
254.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4893
180.7 IPS |
|
|
Text Classification (SP)
|
100% |
3513
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6469
8.63 KIPS |
|
|
Text Classification (Q)
|
93% |
6365
8.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
5213
89.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9621
166.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9377
162.1 IPS |
