iPhone18,1
Geekbench AI Score
9082
Single Precision Score
16407
Half Precision Score
16923
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 14 2025 02:01 AM |
| Views | 5 |
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% |
4284
796.7 IPS |
|
|
Image Classification (HP)
|
100% |
8078
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7357
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6047
98.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9529
154.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10576
171.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
20136
23.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
53422
62.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
57700
67.6 IPS |
|
|
Object Detection (SP)
|
100% |
4398
348.8 IPS |
|
|
Object Detection (HP)
|
100% |
8109
643.2 IPS |
|
|
Object Detection (Q)
|
93% |
8058
642.8 IPS |
|
|
Face Detection (SP)
|
100% |
11726
139.3 IPS |
|
|
Face Detection (HP)
|
100% |
23104
274.5 IPS |
|
|
Face Detection (Q)
|
100% |
17958
213.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17886
137.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
35277
271.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
38285
298.9 IPS |
|
|
Style Transfer (SP)
|
100% |
43317
55.7 IPS |
|
|
Style Transfer (HP)
|
100% |
93492
120.2 IPS |
|
|
Style Transfer (Q)
|
96% |
119355
154.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10416
384.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18762
692.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22360
825.6 IPS |
|
|
Text Classification (SP)
|
100% |
3491
4.66 KIPS |
|
|
Text Classification (HP)
|
99% |
6322
8.44 KIPS |
|
|
Text Classification (Q)
|
93% |
6308
8.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
5041
86.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4691
80.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4602
79.5 IPS |
