iPhone18,1
Geekbench AI Score
8947
Single Precision Score
16247
Half Precision Score
16731
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | 46fy45 |
| Upload Date | November 05 2025 03:04 AM |
| Views | 10 |
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% |
4180
777.4 IPS |
|
|
Image Classification (HP)
|
100% |
8009
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7443
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5917
95.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9381
152.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10303
167.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
19852
23.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
52565
61.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
56362
66.1 IPS |
|
|
Object Detection (SP)
|
100% |
4337
344.0 IPS |
|
|
Object Detection (HP)
|
100% |
8086
641.4 IPS |
|
|
Object Detection (Q)
|
93% |
8029
640.5 IPS |
|
|
Face Detection (SP)
|
100% |
11609
137.9 IPS |
|
|
Face Detection (HP)
|
100% |
22251
264.4 IPS |
|
|
Face Detection (Q)
|
100% |
17725
210.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17688
136.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
35067
270.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
37879
295.7 IPS |
|
|
Style Transfer (SP)
|
100% |
42823
55.0 IPS |
|
|
Style Transfer (HP)
|
100% |
92918
119.4 IPS |
|
|
Style Transfer (Q)
|
96% |
117073
151.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10349
382.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19024
702.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21753
803.2 IPS |
|
|
Text Classification (SP)
|
100% |
3534
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6290
8.40 KIPS |
|
|
Text Classification (Q)
|
93% |
6237
8.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
4800
82.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4626
79.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4645
80.3 IPS |
