LENOVO 21G20025US
Geekbench AI Score
11793
Single Precision Score
21451
Half Precision Score
9106
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | tacsignals |
| Upload Date | May 11 2025 11:26 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 500 Ada Generation Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | LENOVO 21G20025US |
| Motherboard | LENOVO 21G20025US |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4844
900.9 IPS |
|
|
Image Classification (HP)
|
99% |
9667
1.80 KIPS |
|
|
Image Classification (Q)
|
99% |
4310
803.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
8439
136.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14315
232.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
7935
129.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
45327
52.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
133148
155.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
38359
44.9 IPS |
|
|
Object Detection (SP)
|
100% |
5899
467.9 IPS |
|
|
Object Detection (HP)
|
100% |
10864
861.7 IPS |
|
|
Object Detection (Q)
|
84% |
5275
425.5 IPS |
|
|
Face Detection (SP)
|
100% |
11993
142.5 IPS |
|
|
Face Detection (HP)
|
100% |
23095
274.4 IPS |
|
|
Face Detection (Q)
|
97% |
10304
122.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
25821
198.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
56648
436.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
21788
174.6 IPS |
|
|
Style Transfer (SP)
|
100% |
84714
108.9 IPS |
|
|
Style Transfer (HP)
|
100% |
228184
293.3 IPS |
|
|
Style Transfer (Q)
|
98% |
69230
89.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17782
656.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29242
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
12601
466.6 IPS |
|
|
Text Classification (SP)
|
100% |
2870
3.83 KIPS |
|
|
Text Classification (HP)
|
99% |
3253
4.34 KIPS |
|
|
Text Classification (Q)
|
97% |
1665
2.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3557
61.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3630
62.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1738
32.6 IPS |
