Lenovo ThinkStation P300 LENOVO 30AK001XUS
Geekbench AI Score
2031
Single Precision Score
2025
Half Precision Score
2255
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | fenom |
| Upload Date | December 29 2025 12:01 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-4770 CPU @ 3.40GHz |
| 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% |
1233
229.4 IPS |
|
|
Image Classification (HP)
|
100% |
1176
218.7 IPS |
|
|
Image Classification (Q)
|
100% |
1467
272.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1209
19.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1215
19.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1654
26.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2732
3.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
2721
3.18 IPS |
|
|
Pose Estimation (Q)
|
94% |
3137
3.68 IPS |
|
|
Object Detection (SP)
|
100% |
1153
91.4 IPS |
|
|
Object Detection (HP)
|
100% |
1114
88.4 IPS |
|
|
Object Detection (Q)
|
87% |
1445
115.9 IPS |
|
|
Face Detection (SP)
|
100% |
2293
27.2 IPS |
|
|
Face Detection (HP)
|
100% |
2310
27.5 IPS |
|
|
Face Detection (Q)
|
97% |
3948
47.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3250
25.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3373
26.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
3805
30.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7769
9.99 IPS |
|
|
Style Transfer (HP)
|
100% |
7760
9.98 IPS |
|
|
Style Transfer (Q)
|
98% |
8982
11.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1545
57.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1569
57.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1881
69.7 IPS |
|
|
Text Classification (SP)
|
100% |
1579
2.11 KIPS |
|
|
Text Classification (HP)
|
100% |
1585
2.12 KIPS |
|
|
Text Classification (Q)
|
91% |
654
879.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1806
31.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1788
30.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1867
32.2 IPS |
