LENOVO 30B4S0F60S
Geekbench AI Score
12736
Single Precision Score
20223
Half Precision Score
9027
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 13 2025 07:51 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro for Workstations (64-bit) |
| Model | LENOVO 30B4S0F60S |
| Motherboard | LENOVO 102F |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2698 v4 |
| Topology | 1 Processor, 20 Cores, 40 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 20 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4815
895.4 IPS |
|
|
Image Classification (HP)
|
99% |
7485
1.40 KIPS |
|
|
Image Classification (Q)
|
99% |
3827
713.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
9069
147.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13192
213.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
7375
119.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
71422
83.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
188694
220.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
59060
69.2 IPS |
|
|
Object Detection (SP)
|
100% |
6291
499.0 IPS |
|
|
Object Detection (HP)
|
100% |
10035
796.0 IPS |
|
|
Object Detection (Q)
|
84% |
5085
410.2 IPS |
|
|
Face Detection (SP)
|
100% |
15079
179.2 IPS |
|
|
Face Detection (HP)
|
100% |
21818
259.2 IPS |
|
|
Face Detection (Q)
|
97% |
12168
145.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
34044
262.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
61307
473.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
23301
186.5 IPS |
|
|
Style Transfer (SP)
|
100% |
117344
150.8 IPS |
|
|
Style Transfer (HP)
|
100% |
274235
352.5 IPS |
|
|
Style Transfer (Q)
|
98% |
93041
120.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18744
692.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28857
1.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
12762
472.5 IPS |
|
|
Text Classification (SP)
|
100% |
1687
2.25 KIPS |
|
|
Text Classification (HP)
|
100% |
1850
2.47 KIPS |
|
|
Text Classification (Q)
|
97% |
956
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3006
51.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3125
53.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1318
24.7 IPS |
