LEGION geekbench AI GPU LENOVO 90SU000FUS
Geekbench AI Score
25506
Single Precision Score
35832
Half Precision Score
22644
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | blademan |
| Upload Date | October 12 2025 11:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | LENOVO 90SU000FUS |
| Motherboard | LENOVO 3753 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700 |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10026
1.86 KIPS |
|
|
Image Classification (HP)
|
100% |
12214
2.27 KIPS |
|
|
Image Classification (Q)
|
99% |
9327
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12813
207.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
14605
236.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
16268
264.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
171787
200.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
489533
571.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
156100
182.8 IPS |
|
|
Object Detection (SP)
|
100% |
10600
840.8 IPS |
|
|
Object Detection (HP)
|
99% |
13841
1.10 KIPS |
|
|
Object Detection (Q)
|
87% |
9951
799.2 IPS |
|
|
Face Detection (SP)
|
100% |
36784
437.1 IPS |
|
|
Face Detection (HP)
|
100% |
41576
494.0 IPS |
|
|
Face Detection (Q)
|
97% |
33760
402.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
64804
499.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
100055
770.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
55498
444.8 IPS |
|
|
Style Transfer (SP)
|
100% |
295967
380.5 IPS |
|
|
Style Transfer (HP)
|
100% |
526066
676.3 IPS |
|
|
Style Transfer (Q)
|
98% |
272389
351.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37683
1.39 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
60865
2.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32308
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
4192
5.60 KIPS |
|
|
Text Classification (HP)
|
100% |
4810
6.42 KIPS |
|
|
Text Classification (Q)
|
97% |
2999
4.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
4471
77.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4507
77.6 IPS |
|
|
Machine Translation (Q)
|
70% |
3042
57.1 IPS |
