iPhone18,1
Geekbench AI Score
5215
Single Precision Score
36544
Half Precision Score
49841
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 09:36 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2333
433.9 IPS |
|
|
Image Classification (HP)
|
100% |
16211
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
22502
4.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2161
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20602
334.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
26227
425.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11301
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
160798
187.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
298722
350.1 IPS |
|
|
Object Detection (SP)
|
100% |
2704
214.5 IPS |
|
|
Object Detection (HP)
|
100% |
17278
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
25134
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4775
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
40541
481.7 IPS |
|
|
Face Detection (Q)
|
100% |
53342
633.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8518
65.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
104625
806.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
175828
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
24602
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
260357
334.7 IPS |
|
|
Style Transfer (Q)
|
96% |
350874
452.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5601
206.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57390
2.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85214
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3280
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
6567
8.77 KIPS |
|
|
Text Classification (Q)
|
93% |
6222
8.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
5262
90.6 IPS |
|
|
Machine Translation (HP)
|
100% |
11001
189.5 IPS |
|
|
Machine Translation (Q)
|
98% |
12236
211.4 IPS |
