iPhone18,1
Geekbench AI Score
5151
Single Precision Score
8323
Half Precision Score
6587
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 01 2025 01:49 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2326
432.6 IPS |
|
|
Image Classification (HP)
|
100% |
3690
686.2 IPS |
|
|
Image Classification (Q)
|
96% |
2483
463.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2115
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3030
49.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3429
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10638
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19447
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16477
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2648
210.0 IPS |
|
|
Object Detection (HP)
|
97% |
4164
331.5 IPS |
|
|
Object Detection (Q)
|
94% |
2877
229.4 IPS |
|
|
Face Detection (SP)
|
100% |
4657
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
8457
100.5 IPS |
|
|
Face Detection (Q)
|
100% |
4474
53.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8435
65.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14286
110.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10062
78.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24625
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38054
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31167
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5388
198.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6904
254.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4993
184.4 IPS |
|
|
Text Classification (SP)
|
100% |
3240
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5940
7.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5898
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
5624
96.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9352
161.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9232
159.5 IPS |
