LENOVO 30HA006UUS
Geekbench AI Score
4945
Single Precision Score
1490
Half Precision Score
7469
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | 15a |
| Upload Date | May 27 2025 08:26 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 30HA006UUS |
| Motherboard | LENOVO 1066 |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3890
723.5 IPS |
|
|
Image Classification (HP)
|
100% |
508
94.6 IPS |
|
|
Image Classification (Q)
|
99% |
6625
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2003
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
856
13.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3681
59.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9769
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
4354
5.08 IPS |
|
|
Pose Estimation (Q)
|
94% |
29862
35.0 IPS |
|
|
Object Detection (SP)
|
100% |
3720
295.1 IPS |
|
|
Object Detection (HP)
|
100% |
685
54.3 IPS |
|
|
Object Detection (Q)
|
86% |
7305
587.1 IPS |
|
|
Face Detection (SP)
|
100% |
10678
126.9 IPS |
|
|
Face Detection (HP)
|
100% |
1674
19.9 IPS |
|
|
Face Detection (Q)
|
97% |
11001
131.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11179
86.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1997
15.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
15989
127.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21279
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10970
14.1 IPS |
|
|
Style Transfer (Q)
|
98% |
23585
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3555
131.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2030
75.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4441
164.5 IPS |
|
|
Text Classification (SP)
|
100% |
1598
2.13 KIPS |
|
|
Text Classification (HP)
|
100% |
732
976.5 IPS |
|
|
Text Classification (Q)
|
97% |
1583
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2141
36.9 IPS |
|
|
Machine Translation (HP)
|
100% |
766
13.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3483
70.0 IPS |
