iPhone18,1
Geekbench AI Score
9148
Single Precision Score
16539
Half Precision Score
17056
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 26 2025 02:54 AM |
| 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% |
4284
796.7 IPS |
|
|
Image Classification (HP)
|
100% |
8095
1.51 KIPS |
|
|
Image Classification (Q)
|
97% |
7440
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6075
98.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9526
154.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10555
171.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
20190
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
53961
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
58431
68.5 IPS |
|
|
Object Detection (SP)
|
100% |
4405
349.4 IPS |
|
|
Object Detection (HP)
|
100% |
8081
641.0 IPS |
|
|
Object Detection (Q)
|
93% |
8060
643.0 IPS |
|
|
Face Detection (SP)
|
100% |
11874
141.1 IPS |
|
|
Face Detection (HP)
|
100% |
23120
274.7 IPS |
|
|
Face Detection (Q)
|
100% |
17964
213.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17991
138.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
35698
275.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
38651
301.8 IPS |
|
|
Style Transfer (SP)
|
100% |
43183
55.5 IPS |
|
|
Style Transfer (HP)
|
100% |
95961
123.4 IPS |
|
|
Style Transfer (Q)
|
96% |
119279
153.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10416
384.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19051
703.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22468
829.6 IPS |
|
|
Text Classification (SP)
|
100% |
3594
4.80 KIPS |
|
|
Text Classification (HP)
|
99% |
6452
8.61 KIPS |
|
|
Text Classification (Q)
|
93% |
6360
8.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
5139
88.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4679
80.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4761
82.3 IPS |
