LENOVO 30HJS50P00
Geekbench AI Score
38551
Single Precision Score
57660
Half Precision Score
28258
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 05 2025 07:44 PM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX PRO 6000 Blackwell Workstation Edition |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 30HJS50P00 |
| Motherboard | LENOVO 105E |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper PRO 7985WX 64-Cores |
| Topology | 1 Processor, 64 Cores, 128 Threads |
| Identifier | AuthenticAMD Family 25 Model 24 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5586
1.04 KIPS |
|
|
Image Classification (HP)
|
100% |
6003
1.12 KIPS |
|
|
Image Classification (Q)
|
100% |
4890
909.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
25053
406.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
36915
598.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
18964
308.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
193943
226.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
627720
732.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
159278
186.6 IPS |
|
|
Object Detection (SP)
|
100% |
24100
1.91 KIPS |
|
|
Object Detection (HP)
|
100% |
30491
2.42 KIPS |
|
|
Object Detection (Q)
|
84% |
19821
1.60 KIPS |
|
|
Face Detection (SP)
|
100% |
78791
936.2 IPS |
|
|
Face Detection (HP)
|
100% |
100984
1.20 KIPS |
|
|
Face Detection (Q)
|
97% |
63426
756.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
120050
924.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
188423
1.45 KIPS |
|
|
Depth Estimation (Q)
|
77% |
85494
684.8 IPS |
|
|
Style Transfer (SP)
|
100% |
638921
821.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1746400
2.25 KIPS |
|
|
Style Transfer (Q)
|
98% |
571481
736.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
71084
2.62 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
91491
3.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51839
1.92 KIPS |
|
|
Text Classification (SP)
|
100% |
3518
4.70 KIPS |
|
|
Text Classification (HP)
|
100% |
4245
5.67 KIPS |
|
|
Text Classification (Q)
|
97% |
2240
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
7335
126.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7422
127.8 IPS |
|
|
Machine Translation (Q)
|
70% |
3082
57.8 IPS |
