Lenovo ThinkStation P300 LENOVO 30AK001XUS
Geekbench AI Score
1561
Single Precision Score
795
Half Precision Score
1814
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | fenom |
| Upload Date | December 28 2025 11:53 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-4770 |
| 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% |
1143
212.6 IPS |
|
|
Image Classification (HP)
|
100% |
309
57.6 IPS |
|
|
Image Classification (Q)
|
96% |
1236
230.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
650
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
443
7.18 IPS |
|
|
Image Segmentation (Q)
|
97% |
1632
26.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2502
2.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
2083
2.43 IPS |
|
|
Pose Estimation (Q)
|
86% |
2845
3.36 IPS |
|
|
Object Detection (SP)
|
100% |
1063
84.3 IPS |
|
|
Object Detection (HP)
|
100% |
367
29.1 IPS |
|
|
Object Detection (Q)
|
58% |
934
102.1 IPS |
|
|
Face Detection (SP)
|
100% |
1983
23.6 IPS |
|
|
Face Detection (HP)
|
100% |
790
9.38 IPS |
|
|
Face Detection (Q)
|
96% |
2934
35.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3184
24.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1104
8.51 IPS |
|
|
Depth Estimation (Q)
|
78% |
3081
24.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5932
7.63 IPS |
|
|
Style Transfer (HP)
|
100% |
4827
6.21 IPS |
|
|
Style Transfer (Q)
|
87% |
5638
7.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1117
41.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1005
37.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1498
55.5 IPS |
|
|
Text Classification (SP)
|
100% |
1031
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
521
695.4 IPS |
|
|
Text Classification (Q)
|
97% |
778
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1012
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
441
7.59 IPS |
|
|
Machine Translation (Q)
|
68% |
1215
23.5 IPS |
