Lenovo ThinkStation P300 LENOVO 30AK001XUS
Geekbench AI Score
1078
Single Precision Score
1066
Half Precision Score
787
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | fenom |
| Upload Date | December 28 2025 11:58 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Quadro P400 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 30AK001XUS |
| Motherboard | LENOVO SHARKBAY |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4770 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
205
38.1 IPS |
|
|
Image Classification (HP)
|
100% |
398
74.0 IPS |
|
|
Image Classification (Q)
|
99% |
193
36.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
631
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
547
8.87 IPS |
|
|
Image Segmentation (Q)
|
98% |
519
8.43 IPS |
|
|
Pose Estimation (SP)
|
100% |
4771
5.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
2988
3.49 IPS |
|
|
Pose Estimation (Q)
|
96% |
4028
4.72 IPS |
|
|
Object Detection (SP)
|
100% |
290
23.0 IPS |
|
|
Object Detection (HP)
|
100% |
513
40.7 IPS |
|
|
Object Detection (Q)
|
83% |
265
21.4 IPS |
|
|
Face Detection (SP)
|
100% |
570
6.77 IPS |
|
|
Face Detection (HP)
|
100% |
875
10.4 IPS |
|
|
Face Detection (Q)
|
97% |
511
6.09 IPS |
|
|
Depth Estimation (SP)
|
100% |
1944
15.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1812
14.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
1592
12.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8622
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
5430
6.98 IPS |
|
|
Style Transfer (Q)
|
98% |
6908
8.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1843
68.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1442
53.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1233
45.6 IPS |
|
|
Text Classification (SP)
|
100% |
602
803.6 IPS |
|
|
Text Classification (HP)
|
100% |
448
598.0 IPS |
|
|
Text Classification (Q)
|
97% |
303
406.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1127
19.4 IPS |
|
|
Machine Translation (HP)
|
96% |
1029
17.8 IPS |
|
|
Machine Translation (Q)
|
70% |
410
7.69 IPS |
