iPhone18,1
Geekbench AI Score
9053
Single Precision Score
16414
Half Precision Score
16991
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 10:06 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4225
785.6 IPS |
|
|
Image Classification (HP)
|
100% |
8000
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7586
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6070
98.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9564
155.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10496
170.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
20339
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53955
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
58680
68.8 IPS |
|
|
Object Detection (SP)
|
100% |
4397
348.8 IPS |
|
|
Object Detection (HP)
|
100% |
8075
640.5 IPS |
|
|
Object Detection (Q)
|
93% |
8067
643.6 IPS |
|
|
Face Detection (SP)
|
100% |
11551
137.2 IPS |
|
|
Face Detection (HP)
|
100% |
23114
274.6 IPS |
|
|
Face Detection (Q)
|
100% |
17822
211.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
17882
137.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
34204
263.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
37977
296.5 IPS |
|
|
Style Transfer (SP)
|
100% |
43325
55.7 IPS |
|
|
Style Transfer (HP)
|
100% |
96375
123.9 IPS |
|
|
Style Transfer (Q)
|
96% |
119028
153.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10413
384.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18696
690.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22516
831.4 IPS |
|
|
Text Classification (SP)
|
100% |
3515
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6415
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
6363
8.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
4925
84.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4661
80.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4610
79.7 IPS |
