iPhone18,1
Geekbench AI Score
5214
Single Precision Score
8492
Half Precision Score
6706
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 07:01 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2345
436.1 IPS |
|
|
Image Classification (HP)
|
100% |
3722
692.1 IPS |
|
|
Image Classification (Q)
|
96% |
2425
452.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2142
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3088
50.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3469
56.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11144
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
20206
23.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
17195
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
2659
210.9 IPS |
|
|
Object Detection (HP)
|
97% |
4200
334.3 IPS |
|
|
Object Detection (Q)
|
94% |
2887
230.1 IPS |
|
|
Face Detection (SP)
|
100% |
4644
55.2 IPS |
|
|
Face Detection (HP)
|
100% |
8507
101.1 IPS |
|
|
Face Detection (Q)
|
100% |
4591
54.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8582
66.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14561
112.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10290
80.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25336
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
39403
50.7 IPS |
|
|
Style Transfer (Q)
|
96% |
32573
42.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5774
213.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7060
260.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5032
185.8 IPS |
|
|
Text Classification (SP)
|
100% |
3250
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
6168
8.23 KIPS |
|
|
Text Classification (Q)
|
93% |
5850
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
5271
90.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9408
162.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9726
168.1 IPS |
