LENOVO 20YU002JUS
Geekbench AI Score
15655
Single Precision Score
24490
Half Precision Score
10684
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | February 05 2025 09:04 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A5000 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | LENOVO 20YU002JUS |
| Motherboard | LENOVO 20YU002JUS |
| Power Plan | Balanced |
| 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% |
6590
1.23 KIPS |
|
|
Image Classification (HP)
|
100% |
10224
1.90 KIPS |
|
|
Image Classification (Q)
|
100% |
4886
908.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
9598
155.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12226
198.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
7703
125.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
84326
98.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
242424
282.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
71291
83.5 IPS |
|
|
Object Detection (SP)
|
100% |
8583
680.8 IPS |
|
|
Object Detection (HP)
|
100% |
13845
1.10 KIPS |
|
|
Object Detection (Q)
|
85% |
6494
522.8 IPS |
|
|
Face Detection (SP)
|
100% |
19112
227.1 IPS |
|
|
Face Detection (HP)
|
100% |
30795
365.9 IPS |
|
|
Face Detection (Q)
|
97% |
14907
177.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
35056
270.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
74350
572.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
25256
202.0 IPS |
|
|
Style Transfer (SP)
|
100% |
149822
192.6 IPS |
|
|
Style Transfer (HP)
|
100% |
389975
501.3 IPS |
|
|
Style Transfer (Q)
|
98% |
119376
153.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27804
1.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
38008
1.40 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16682
617.7 IPS |
|
|
Text Classification (SP)
|
100% |
2115
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
1700
2.27 KIPS |
|
|
Text Classification (Q)
|
97% |
1123
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3272
56.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3207
55.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1321
24.8 IPS |
