YASHI LE MANS AI
Geekbench AI Score
5267
Single Precision Score
5200
Half Precision Score
14091
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tragazzini |
| Upload Date | November 14 2025 12:22 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 9 365 w/ Radeon 880M |
| 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% |
3081
573.0 IPS |
|
|
Image Classification (HP)
|
100% |
3182
591.8 IPS |
|
|
Image Classification (Q)
|
100% |
9382
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3776
61.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3134
50.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10768
174.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6827
7.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
6822
7.96 IPS |
|
|
Pose Estimation (Q)
|
98% |
27235
31.9 IPS |
|
|
Object Detection (SP)
|
100% |
3141
249.2 IPS |
|
|
Object Detection (HP)
|
100% |
3019
239.4 IPS |
|
|
Object Detection (Q)
|
88% |
8505
681.8 IPS |
|
|
Face Detection (SP)
|
100% |
7786
92.5 IPS |
|
|
Face Detection (HP)
|
100% |
8128
96.6 IPS |
|
|
Face Detection (Q)
|
100% |
26364
313.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8492
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8604
66.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
22891
178.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18864
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
18756
24.1 IPS |
|
|
Style Transfer (Q)
|
98% |
71278
91.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4061
150.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4051
149.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13422
497.1 IPS |
|
|
Text Classification (SP)
|
100% |
2986
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3072
4.10 KIPS |
|
|
Text Classification (Q)
|
92% |
4028
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
4358
75.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4314
74.3 IPS |
|
|
Machine Translation (Q)
|
100% |
5674
97.7 IPS |
