iPhone18,1
Geekbench AI Score
4995
Single Precision Score
8111
Half Precision Score
6378
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 03:21 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2306
428.8 IPS |
|
|
Image Classification (HP)
|
100% |
3648
678.3 IPS |
|
|
Image Classification (Q)
|
96% |
2452
457.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2108
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2972
48.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3380
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9984
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18353
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15440
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2534
201.0 IPS |
|
|
Object Detection (HP)
|
97% |
4033
321.0 IPS |
|
|
Object Detection (Q)
|
94% |
2694
214.7 IPS |
|
|
Face Detection (SP)
|
100% |
4285
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
8073
95.9 IPS |
|
|
Face Detection (Q)
|
100% |
4112
48.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8130
62.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13634
105.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9500
74.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23448
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37193
47.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30138
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5364
198.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6922
255.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4890
180.6 IPS |
|
|
Text Classification (SP)
|
100% |
3445
4.60 KIPS |
|
|
Text Classification (HP)
|
99% |
6186
8.26 KIPS |
|
|
Text Classification (Q)
|
93% |
6104
8.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
5209
89.7 IPS |
|
|
Machine Translation (HP)
|
98% |
8765
151.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9203
159.0 IPS |
