LENOVO 90RB001SUS
Geekbench AI Score
2292
Single Precision Score
1100
Half Precision Score
3749
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 25 2025 05:14 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700G |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 90RB001SUS |
| Motherboard | LENOVO 3716 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1741
323.8 IPS |
|
|
Image Classification (HP)
|
100% |
416
77.3 IPS |
|
|
Image Classification (Q)
|
96% |
2668
498.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
853
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
528
8.56 IPS |
|
|
Image Segmentation (Q)
|
97% |
3368
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3536
4.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
3281
3.83 IPS |
|
|
Pose Estimation (Q)
|
86% |
9596
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
1732
137.4 IPS |
|
|
Object Detection (HP)
|
100% |
502
39.8 IPS |
|
|
Object Detection (Q)
|
58% |
2134
233.1 IPS |
|
|
Face Detection (SP)
|
100% |
3217
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
1029
12.2 IPS |
|
|
Face Detection (Q)
|
96% |
6049
72.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4972
38.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1559
12.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
7409
59.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9471
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
7671
9.86 IPS |
|
|
Style Transfer (Q)
|
87% |
11853
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1561
57.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1342
49.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2980
110.4 IPS |
|
|
Text Classification (SP)
|
100% |
1336
1.78 KIPS |
|
|
Text Classification (HP)
|
100% |
685
914.1 IPS |
|
|
Text Classification (Q)
|
97% |
1007
1.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1393
24.0 IPS |
|
|
Machine Translation (HP)
|
100% |
639
11.0 IPS |
|
|
Machine Translation (Q)
|
68% |
1873
36.2 IPS |
