LENOVO 20YU002MUS
Geekbench AI Score
3185
Single Precision Score
3178
Half Precision Score
8057
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | April 22 2025 06:25 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) W-11855M CPU @ 3.20GHz |
| 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% |
1936
360.1 IPS |
|
|
Image Classification (HP)
|
100% |
1902
353.8 IPS |
|
|
Image Classification (Q)
|
100% |
5447
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2390
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2392
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
5219
84.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3848
4.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
3809
4.44 IPS |
|
|
Pose Estimation (Q)
|
96% |
14762
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
1837
145.7 IPS |
|
|
Object Detection (HP)
|
100% |
1948
154.5 IPS |
|
|
Object Detection (Q)
|
88% |
5600
448.9 IPS |
|
|
Face Detection (SP)
|
100% |
4636
55.1 IPS |
|
|
Face Detection (HP)
|
100% |
4380
52.0 IPS |
|
|
Face Detection (Q)
|
100% |
13004
154.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4908
37.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
5030
38.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
13339
103.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10365
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10345
13.3 IPS |
|
|
Style Transfer (Q)
|
98% |
36978
47.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2317
85.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2227
82.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7415
274.6 IPS |
|
|
Text Classification (SP)
|
100% |
1894
2.53 KIPS |
|
|
Text Classification (HP)
|
100% |
1940
2.59 KIPS |
|
|
Text Classification (Q)
|
92% |
3271
4.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3182
54.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3164
54.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3154
54.3 IPS |
