LENOVO 20Y300C9MX
Geekbench AI Score
2367
Single Precision Score
3542
Half Precision Score
5520
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 03 2025 09:42 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) |
| Model | LENOVO 20Y300C9MX |
| Motherboard | LENOVO 20Y300C9MX |
| Power Plan | Balanceret |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1441
268.0 IPS |
|
|
Image Classification (HP)
|
100% |
2394
445.2 IPS |
|
|
Image Classification (Q)
|
99% |
3661
682.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2220
36.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3624
58.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4200
68.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3886
4.53 IPS |
|
|
Pose Estimation (HP)
|
99% |
2858
3.34 IPS |
|
|
Pose Estimation (Q)
|
97% |
11704
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1331
105.6 IPS |
|
|
Object Detection (HP)
|
98% |
2102
167.2 IPS |
|
|
Object Detection (Q)
|
90% |
3949
315.7 IPS |
|
|
Face Detection (SP)
|
100% |
4441
52.8 IPS |
|
|
Face Detection (HP)
|
100% |
7132
84.7 IPS |
|
|
Face Detection (Q)
|
100% |
9769
116.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4642
35.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
7485
57.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
10082
78.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10047
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
15897
20.4 IPS |
|
|
Style Transfer (Q)
|
98% |
27166
35.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1846
68.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3024
111.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6090
225.6 IPS |
|
|
Text Classification (SP)
|
71% |
984
1.42 KIPS |
|
|
Text Classification (HP)
|
71% |
1187
1.72 KIPS |
|
|
Text Classification (Q)
|
92% |
1229
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
888
15.3 IPS |
|
|
Machine Translation (HP)
|
98% |
1963
33.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1848
31.8 IPS |
