LENOVO 30E0CTO1WW
Geekbench AI Score
26294
Single Precision Score
33761
Half Precision Score
20877
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ducphuc |
| Upload Date | August 16 2024 03:46 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 30E0CTO1WW |
| Motherboard | LENOVO 1046 |
| Power Plan | AMD Ryzen 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% |
10925
2.03 KIPS |
|
|
Image Classification (HP)
|
99% |
13808
2.58 KIPS |
|
|
Image Classification (Q)
|
100% |
9409
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10554
171.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
11574
187.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
10108
164.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
277099
323.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
447532
522.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
243676
285.3 IPS |
|
|
Object Detection (SP)
|
100% |
13074
1.04 KIPS |
|
|
Object Detection (HP)
|
100% |
15934
1.26 KIPS |
|
|
Object Detection (Q)
|
89% |
11582
927.1 IPS |
|
|
Face Detection (SP)
|
100% |
34545
410.5 IPS |
|
|
Face Detection (HP)
|
100% |
41212
489.7 IPS |
|
|
Face Detection (Q)
|
97% |
29782
355.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
80779
622.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
127221
980.2 IPS |
|
|
Depth Estimation (Q)
|
75% |
60085
485.0 IPS |
|
|
Style Transfer (SP)
|
100% |
448817
577.0 IPS |
|
|
Style Transfer (HP)
|
100% |
744786
957.4 IPS |
|
|
Style Transfer (Q)
|
98% |
394152
508.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42247
1.56 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
51666
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33288
1.23 KIPS |
|
|
Text Classification (SP)
|
100% |
2861
3.82 KIPS |
|
|
Text Classification (HP)
|
99% |
3382
4.51 KIPS |
|
|
Text Classification (Q)
|
97% |
1853
2.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2499
43.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2474
42.6 IPS |
|
|
Machine Translation (Q)
|
60% |
1347
30.0 IPS |
