iPhone18,1
Geekbench AI Score
5172
Single Precision Score
36120
Half Precision Score
49026
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | mitsuy0 |
| Upload Date | October 06 2025 10:46 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2347
436.4 IPS |
|
|
Image Classification (HP)
|
100% |
16157
3.00 KIPS |
|
|
Image Classification (Q)
|
97% |
21401
3.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2107
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
20411
330.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
25651
415.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10683
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
159825
186.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
295930
346.8 IPS |
|
|
Object Detection (SP)
|
100% |
2714
215.3 IPS |
|
|
Object Detection (HP)
|
100% |
17246
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
25241
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4624
54.9 IPS |
|
|
Face Detection (HP)
|
100% |
41021
487.4 IPS |
|
|
Face Detection (Q)
|
100% |
53141
631.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8486
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
104262
803.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
168361
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
24703
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
259242
333.3 IPS |
|
|
Style Transfer (Q)
|
96% |
350481
452.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5752
212.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55986
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85944
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3254
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
6121
8.17 KIPS |
|
|
Text Classification (Q)
|
93% |
5931
7.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
5271
90.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10946
188.5 IPS |
|
|
Machine Translation (Q)
|
98% |
12241
211.5 IPS |
