LENOVO 90YJ001KUS
Geekbench AI Score
29500
Single Precision Score
51493
Half Precision Score
22843
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 06:37 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 90YJ001KUS |
| Motherboard | LENOVO 3787 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11538
2.15 KIPS |
|
|
Image Classification (HP)
|
100% |
19751
3.67 KIPS |
|
|
Image Classification (Q)
|
100% |
10493
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21841
354.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
33408
541.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
19948
324.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
169690
198.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
492139
574.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
146870
172.0 IPS |
|
|
Object Detection (SP)
|
100% |
16062
1.27 KIPS |
|
|
Object Detection (HP)
|
100% |
26751
2.12 KIPS |
|
|
Object Detection (Q)
|
83% |
13057
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
43451
516.3 IPS |
|
|
Face Detection (HP)
|
100% |
65757
781.3 IPS |
|
|
Face Detection (Q)
|
97% |
36696
437.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
70487
543.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
130414
1.00 KIPS |
|
|
Depth Estimation (Q)
|
78% |
55145
440.2 IPS |
|
|
Style Transfer (SP)
|
100% |
235238
302.4 IPS |
|
|
Style Transfer (HP)
|
100% |
796562
1.02 KIPS |
|
|
Style Transfer (Q)
|
98% |
203266
262.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41944
1.55 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
75646
2.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33999
1.26 KIPS |
|
|
Text Classification (SP)
|
100% |
3756
5.01 KIPS |
|
|
Text Classification (HP)
|
100% |
4420
5.90 KIPS |
|
|
Text Classification (Q)
|
97% |
2334
3.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
6403
110.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6607
113.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2953
55.4 IPS |
