iPhone18,1
Geekbench AI Score
8991
Single Precision Score
16383
Half Precision Score
16984
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 05:08 PM |
| Views | 1 |
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% |
4178
776.9 IPS |
|
|
Image Classification (HP)
|
100% |
7933
1.48 KIPS |
|
|
Image Classification (Q)
|
97% |
7520
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5973
96.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9489
153.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10468
169.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
20047
23.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
53158
62.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
58100
68.1 IPS |
|
|
Object Detection (SP)
|
100% |
4380
347.5 IPS |
|
|
Object Detection (HP)
|
100% |
8071
640.2 IPS |
|
|
Object Detection (Q)
|
93% |
8046
641.9 IPS |
|
|
Face Detection (SP)
|
100% |
11723
139.3 IPS |
|
|
Face Detection (HP)
|
100% |
23113
274.6 IPS |
|
|
Face Detection (Q)
|
100% |
18124
215.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17896
137.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
35513
273.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
37831
295.4 IPS |
|
|
Style Transfer (SP)
|
100% |
43266
55.6 IPS |
|
|
Style Transfer (HP)
|
100% |
93453
120.1 IPS |
|
|
Style Transfer (Q)
|
96% |
119471
154.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10403
384.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19033
702.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22245
821.4 IPS |
|
|
Text Classification (SP)
|
100% |
3237
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
6189
8.26 KIPS |
|
|
Text Classification (Q)
|
93% |
6259
8.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
5156
88.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4774
82.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4760
82.3 IPS |
