LENOVO 20YU002MUS
Geekbench AI Score
10007
Single Precision Score
10996
Half Precision Score
7319
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | April 22 2025 06:31 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon VII |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | LENOVO 20YU002MUS |
| Motherboard | LENOVO 20YU002MUS |
| Power Plan | Razer Cortex Power Plan |
| CPU Information | |
|---|---|
| Name | Intel Xeon W-11855M |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3837
713.5 IPS |
|
|
Image Classification (HP)
|
100% |
4239
788.3 IPS |
|
|
Image Classification (Q)
|
100% |
3141
584.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
5161
83.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5246
85.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4537
73.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
88864
103.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
121401
141.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
73516
86.1 IPS |
|
|
Object Detection (SP)
|
100% |
4540
360.1 IPS |
|
|
Object Detection (HP)
|
100% |
4693
372.3 IPS |
|
|
Object Detection (Q)
|
88% |
3765
301.9 IPS |
|
|
Face Detection (SP)
|
100% |
12887
153.1 IPS |
|
|
Face Detection (HP)
|
100% |
13348
158.6 IPS |
|
|
Face Detection (Q)
|
97% |
10653
127.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
28387
218.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
30673
236.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
20550
164.6 IPS |
|
|
Style Transfer (SP)
|
100% |
154885
199.1 IPS |
|
|
Style Transfer (HP)
|
100% |
202396
260.2 IPS |
|
|
Style Transfer (Q)
|
98% |
123546
159.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16308
602.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17997
664.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11106
411.2 IPS |
|
|
Text Classification (SP)
|
100% |
958
1.28 KIPS |
|
|
Text Classification (HP)
|
100% |
953
1.27 KIPS |
|
|
Text Classification (Q)
|
97% |
551
738.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1425
24.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1436
24.7 IPS |
|
|
Machine Translation (Q)
|
70% |
676
12.7 IPS |
