iPhone18,1
Geekbench AI Score
9075
Single Precision Score
16485
Half Precision Score
17032
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | mitsuy0 |
| Upload Date | October 06 2025 10:51 PM |
| Views | 3 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4261
792.3 IPS |
|
|
Image Classification (HP)
|
100% |
8023
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7381
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6083
98.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9550
154.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10596
171.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
20367
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
54250
63.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
59179
69.4 IPS |
|
|
Object Detection (SP)
|
100% |
4405
349.4 IPS |
|
|
Object Detection (HP)
|
100% |
8038
637.6 IPS |
|
|
Object Detection (Q)
|
93% |
8057
642.7 IPS |
|
|
Face Detection (SP)
|
100% |
11690
138.9 IPS |
|
|
Face Detection (HP)
|
100% |
23022
273.5 IPS |
|
|
Face Detection (Q)
|
100% |
17773
211.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
18042
139.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
35579
274.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
38203
298.3 IPS |
|
|
Style Transfer (SP)
|
100% |
43935
56.5 IPS |
|
|
Style Transfer (HP)
|
100% |
96022
123.4 IPS |
|
|
Style Transfer (Q)
|
96% |
120027
154.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10416
384.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18853
696.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22525
831.7 IPS |
|
|
Text Classification (SP)
|
100% |
3259
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
6127
8.18 KIPS |
|
|
Text Classification (Q)
|
93% |
6080
8.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
5183
89.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4883
84.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4936
85.3 IPS |
