YASHI LE MANS AI
Geekbench AI Score
3481
Single Precision Score
1751
Half Precision Score
7261
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tragazzini |
| Upload Date | November 14 2025 12:17 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 365 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | YASHI LE MANS AI |
| Motherboard | YASHI LE MANS AI |
| Power Plan | Prestazioni elevate |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 365 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2656
494.0 IPS |
|
|
Image Classification (HP)
|
100% |
651
121.0 IPS |
|
|
Image Classification (Q)
|
99% |
7255
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1250
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1074
17.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
9664
157.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5820
6.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
5080
5.93 IPS |
|
|
Pose Estimation (Q)
|
94% |
23474
27.5 IPS |
|
|
Object Detection (SP)
|
100% |
2749
218.0 IPS |
|
|
Object Detection (HP)
|
100% |
761
60.4 IPS |
|
|
Object Detection (Q)
|
86% |
7121
572.3 IPS |
|
|
Face Detection (SP)
|
100% |
5983
71.1 IPS |
|
|
Face Detection (HP)
|
100% |
1899
22.6 IPS |
|
|
Face Detection (Q)
|
97% |
10462
124.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8100
62.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2779
21.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
15464
123.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14201
18.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12583
16.2 IPS |
|
|
Style Transfer (Q)
|
98% |
29193
37.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2161
79.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2149
79.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1841
68.2 IPS |
|
|
Text Classification (SP)
|
100% |
1573
2.10 KIPS |
|
|
Text Classification (HP)
|
100% |
817
1.09 KIPS |
|
|
Text Classification (Q)
|
97% |
1464
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2108
36.3 IPS |
|
|
Machine Translation (HP)
|
100% |
863
14.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2733
54.9 IPS |
