LENOVO 30E0CTO1WW
Geekbench AI Score
32433
Single Precision Score
42628
Half Precision Score
24816
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | DVB |
| Upload Date | August 19 2024 05:08 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 30E0CTO1WW |
| Motherboard | LENOVO 1046 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper PRO 3975WX |
| Topology | 1 Processor, 32 Cores, 64 Threads |
| Identifier | AuthenticAMD Family 23 Model 49 Stepping 0 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11440
2.13 KIPS |
|
|
Image Classification (HP)
|
99% |
14493
2.70 KIPS |
|
|
Image Classification (Q)
|
100% |
9774
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18955
307.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22513
365.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
17670
287.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
298939
348.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
480913
561.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
260951
305.6 IPS |
|
|
Object Detection (SP)
|
100% |
15910
1.26 KIPS |
|
|
Object Detection (HP)
|
100% |
19740
1.57 KIPS |
|
|
Object Detection (Q)
|
89% |
13584
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
41633
494.7 IPS |
|
|
Face Detection (HP)
|
100% |
49109
583.5 IPS |
|
|
Face Detection (Q)
|
97% |
35522
423.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
85021
655.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
137354
1.06 KIPS |
|
|
Depth Estimation (Q)
|
75% |
62785
506.8 IPS |
|
|
Style Transfer (SP)
|
100% |
507505
652.4 IPS |
|
|
Style Transfer (HP)
|
100% |
920765
1.18 KIPS |
|
|
Style Transfer (Q)
|
98% |
437260
563.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
50837
1.88 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
64739
2.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38692
1.43 KIPS |
|
|
Text Classification (SP)
|
100% |
2990
3.99 KIPS |
|
|
Text Classification (HP)
|
99% |
3549
4.74 KIPS |
|
|
Text Classification (Q)
|
97% |
1937
2.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
4574
78.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4483
77.2 IPS |
|
|
Machine Translation (Q)
|
60% |
1980
44.2 IPS |
