LENOVO 30DF001NUS
Geekbench AI Score
2761
Single Precision Score
2833
Half Precision Score
2077
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | ahoffman |
| Upload Date | November 22 2025 10:15 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Quadro P1000 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 30DF001NUS |
| Motherboard | LENOVO 3172 |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10900T |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
604
112.3 IPS |
|
|
Image Classification (HP)
|
100% |
1160
215.8 IPS |
|
|
Image Classification (Q)
|
99% |
562
104.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1722
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1566
25.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1437
23.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14739
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
8817
10.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
12215
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
834
66.1 IPS |
|
|
Object Detection (HP)
|
100% |
1402
111.2 IPS |
|
|
Object Detection (Q)
|
83% |
760
61.4 IPS |
|
|
Face Detection (SP)
|
100% |
1644
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
2541
30.2 IPS |
|
|
Face Detection (Q)
|
97% |
1473
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5475
42.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
5125
39.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
4433
35.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26658
34.3 IPS |
|
|
Style Transfer (HP)
|
100% |
16317
21.0 IPS |
|
|
Style Transfer (Q)
|
98% |
20838
26.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5148
190.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4119
152.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3461
128.1 IPS |
|
|
Text Classification (SP)
|
100% |
1008
1.35 KIPS |
|
|
Text Classification (HP)
|
100% |
1072
1.43 KIPS |
|
|
Text Classification (Q)
|
97% |
563
753.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1623
28.0 IPS |
|
|
Machine Translation (HP)
|
96% |
1585
27.4 IPS |
|
|
Machine Translation (Q)
|
70% |
753
14.1 IPS |
