iPhone18,1
Geekbench AI Score
9057
Single Precision Score
16446
Half Precision Score
16885
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 03:00 PM |
| Views | 2 |
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% |
4190
779.3 IPS |
|
|
Image Classification (HP)
|
100% |
7940
1.48 KIPS |
|
|
Image Classification (Q)
|
97% |
7494
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6049
98.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9496
153.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10560
171.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
20129
23.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
53296
62.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
58050
68.0 IPS |
|
|
Object Detection (SP)
|
100% |
4375
347.0 IPS |
|
|
Object Detection (HP)
|
100% |
8074
640.4 IPS |
|
|
Object Detection (Q)
|
93% |
8038
641.3 IPS |
|
|
Face Detection (SP)
|
100% |
11678
138.8 IPS |
|
|
Face Detection (HP)
|
100% |
23099
274.5 IPS |
|
|
Face Detection (Q)
|
100% |
17849
212.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17829
137.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
35585
274.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
38224
298.4 IPS |
|
|
Style Transfer (SP)
|
100% |
43269
55.6 IPS |
|
|
Style Transfer (HP)
|
100% |
93963
120.8 IPS |
|
|
Style Transfer (Q)
|
96% |
119460
154.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10412
384.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19250
710.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22210
820.1 IPS |
|
|
Text Classification (SP)
|
100% |
3532
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6579
8.78 KIPS |
|
|
Text Classification (Q)
|
93% |
6355
8.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
5024
86.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4563
78.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4435
76.6 IPS |
