LENOVO 30HBA0D6CW
Geekbench AI Score
5546
Single Precision Score
5485
Half Precision Score
4031
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Ailon |
| Upload Date | October 20 2025 05:08 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Tesla P4 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2025 Datacenter (64-bit) |
| Model | LENOVO 30HBA0D6CW |
| Motherboard | LENOVO 1066 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900 |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1514
281.5 IPS |
|
|
Image Classification (HP)
|
100% |
2311
429.7 IPS |
|
|
Image Classification (Q)
|
99% |
1326
247.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3285
53.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3253
52.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2691
43.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
42844
50.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
23811
27.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
32789
38.4 IPS |
|
|
Object Detection (SP)
|
100% |
1901
150.8 IPS |
|
|
Object Detection (HP)
|
100% |
2860
226.9 IPS |
|
|
Object Detection (Q)
|
84% |
1635
131.8 IPS |
|
|
Face Detection (SP)
|
100% |
3791
45.0 IPS |
|
|
Face Detection (HP)
|
100% |
5731
68.1 IPS |
|
|
Face Detection (Q)
|
97% |
3285
39.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12888
99.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
11369
87.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
9624
76.9 IPS |
|
|
Style Transfer (SP)
|
100% |
66803
85.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37966
48.8 IPS |
|
|
Style Transfer (Q)
|
98% |
49489
63.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11580
427.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9220
340.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6896
255.3 IPS |
|
|
Text Classification (SP)
|
100% |
1150
1.53 KIPS |
|
|
Text Classification (HP)
|
100% |
1349
1.80 KIPS |
|
|
Text Classification (Q)
|
97% |
678
907.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1566
27.0 IPS |
|
|
Machine Translation (HP)
|
96% |
1567
27.1 IPS |
|
|
Machine Translation (Q)
|
70% |
811
15.2 IPS |
