iPhone18,1
Geekbench AI Score
9129
Single Precision Score
16445
Half Precision Score
17126
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | owine |
| Upload Date | September 20 2025 02:16 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4275
795.1 IPS |
|
|
Image Classification (HP)
|
100% |
7968
1.48 KIPS |
|
|
Image Classification (Q)
|
97% |
7473
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6068
98.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9554
154.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10598
171.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
20271
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53929
62.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
58821
68.9 IPS |
|
|
Object Detection (SP)
|
100% |
4395
348.6 IPS |
|
|
Object Detection (HP)
|
100% |
8078
640.8 IPS |
|
|
Object Detection (Q)
|
93% |
8048
642.0 IPS |
|
|
Face Detection (SP)
|
100% |
11534
137.1 IPS |
|
|
Face Detection (HP)
|
100% |
22946
272.6 IPS |
|
|
Face Detection (Q)
|
100% |
17862
212.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
17946
138.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
35457
273.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
38435
300.1 IPS |
|
|
Style Transfer (SP)
|
100% |
43493
55.9 IPS |
|
|
Style Transfer (HP)
|
100% |
96325
123.8 IPS |
|
|
Style Transfer (Q)
|
96% |
119997
154.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10411
384.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18838
695.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22370
826.0 IPS |
|
|
Text Classification (SP)
|
100% |
3539
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6453
8.61 KIPS |
|
|
Text Classification (Q)
|
93% |
6342
8.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
5247
90.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4580
78.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4954
85.6 IPS |
