YASHI LE MANS AI
Geekbench AI Score
6891
Single Precision Score
10995
Half Precision Score
5490
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tragazzini |
| Upload Date | November 14 2025 12:20 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 880M Graphics |
| 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% |
2444
454.6 IPS |
|
|
Image Classification (HP)
|
100% |
3944
733.5 IPS |
|
|
Image Classification (Q)
|
100% |
2363
439.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3127
50.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4893
79.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3256
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
37056
43.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
65505
76.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
27745
32.5 IPS |
|
|
Object Detection (SP)
|
100% |
2463
195.3 IPS |
|
|
Object Detection (HP)
|
100% |
3492
277.0 IPS |
|
|
Object Detection (Q)
|
87% |
2266
182.0 IPS |
|
|
Face Detection (SP)
|
100% |
5743
68.2 IPS |
|
|
Face Detection (HP)
|
100% |
10516
124.9 IPS |
|
|
Face Detection (Q)
|
97% |
4892
58.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16124
124.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
25019
192.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
12445
99.8 IPS |
|
|
Style Transfer (SP)
|
100% |
64521
82.9 IPS |
|
|
Style Transfer (HP)
|
100% |
104023
133.7 IPS |
|
|
Style Transfer (Q)
|
98% |
42952
55.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9318
344.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22307
823.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7042
260.8 IPS |
|
|
Text Classification (SP)
|
100% |
2198
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
3209
4.28 KIPS |
|
|
Text Classification (Q)
|
97% |
1680
2.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2829
48.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2986
51.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1664
31.2 IPS |
