LENOVO 30HBA0D6CW
Geekbench AI Score
19050
Single Precision Score
33134
Half Precision Score
14941
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Ailon |
| Upload Date | October 20 2025 05:14 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 4000 SFF Ada Generation |
| 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% |
7648
1.42 KIPS |
|
|
Image Classification (HP)
|
99% |
14216
2.65 KIPS |
|
|
Image Classification (Q)
|
100% |
7386
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15238
247.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22352
362.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
13420
218.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
86237
100.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
249703
291.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
77524
90.8 IPS |
|
|
Object Detection (SP)
|
100% |
8743
693.5 IPS |
|
|
Object Detection (HP)
|
100% |
17460
1.38 KIPS |
|
|
Object Detection (Q)
|
85% |
8034
646.8 IPS |
|
|
Face Detection (SP)
|
100% |
24579
292.0 IPS |
|
|
Face Detection (HP)
|
100% |
40648
483.0 IPS |
|
|
Face Detection (Q)
|
97% |
19456
232.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
37479
288.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
80767
624.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
32732
262.9 IPS |
|
|
Style Transfer (SP)
|
100% |
164756
211.8 IPS |
|
|
Style Transfer (HP)
|
100% |
437878
562.9 IPS |
|
|
Style Transfer (Q)
|
98% |
152995
197.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35065
1.29 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47737
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24914
922.5 IPS |
|
|
Text Classification (SP)
|
100% |
3089
4.12 KIPS |
|
|
Text Classification (HP)
|
99% |
3840
5.12 KIPS |
|
|
Text Classification (Q)
|
97% |
1847
2.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
4359
75.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4369
75.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2003
37.6 IPS |
