LENOVO 30E1S8VN00
Geekbench AI Score
17685
Single Precision Score
26819
Half Precision Score
11831
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 09 2025 08:14 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2080 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 30E1S8VN00 |
| Motherboard | LENOVO 1046 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper PRO 3945WX |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 23 Model 49 Stepping 0 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7833
1.46 KIPS |
|
|
Image Classification (HP)
|
100% |
10854
2.02 KIPS |
|
|
Image Classification (Q)
|
99% |
5476
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10405
168.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13318
215.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
8330
135.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
105840
123.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
305498
356.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
85199
99.8 IPS |
|
|
Object Detection (SP)
|
100% |
9155
726.2 IPS |
|
|
Object Detection (HP)
|
100% |
12698
1.01 KIPS |
|
|
Object Detection (Q)
|
85% |
6728
541.6 IPS |
|
|
Face Detection (SP)
|
100% |
23359
277.6 IPS |
|
|
Face Detection (HP)
|
100% |
33785
401.4 IPS |
|
|
Face Detection (Q)
|
97% |
17444
208.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
49326
380.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
76858
592.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
31172
249.7 IPS |
|
|
Style Transfer (SP)
|
100% |
198187
254.8 IPS |
|
|
Style Transfer (HP)
|
100% |
415442
534.1 IPS |
|
|
Style Transfer (Q)
|
98% |
148574
191.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29046
1.07 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
36747
1.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16828
623.1 IPS |
|
|
Text Classification (SP)
|
100% |
1962
2.62 KIPS |
|
|
Text Classification (HP)
|
99% |
2983
3.98 KIPS |
|
|
Text Classification (Q)
|
97% |
1159
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
2912
50.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2904
50.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1305
24.5 IPS |
