LENOVO 20YTS1GE07
Geekbench AI Score
2185
Single Precision Score
3227
Half Precision Score
5038
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 03 2025 08:32 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 20YTS1GE07 |
| Motherboard | LENOVO 20YTS1GE07 |
| Power Plan | Balanceret |
| CPU Information | |
|---|---|
| Name | Intel Core i9-11950H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.61 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% |
2429
451.8 IPS |
|
|
Image Classification (Q)
|
99% |
3736
696.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2197
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3615
58.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4177
67.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3890
4.54 IPS |
|
|
Pose Estimation (HP)
|
99% |
2864
3.34 IPS |
|
|
Pose Estimation (Q)
|
97% |
11829
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1333
105.7 IPS |
|
|
Object Detection (HP)
|
98% |
2129
169.4 IPS |
|
|
Object Detection (Q)
|
90% |
3978
318.1 IPS |
|
|
Face Detection (SP)
|
100% |
4441
52.8 IPS |
|
|
Face Detection (HP)
|
100% |
7146
84.9 IPS |
|
|
Face Detection (Q)
|
100% |
9493
112.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4535
34.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
7765
60.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
10484
81.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10196
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
16035
20.6 IPS |
|
|
Style Transfer (Q)
|
98% |
27181
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1845
68.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3015
111.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6115
226.5 IPS |
|
|
Text Classification (SP)
|
71% |
530
766.3 IPS |
|
|
Text Classification (HP)
|
71% |
718
1.04 KIPS |
|
|
Text Classification (Q)
|
92% |
715
960.5 IPS |
|
|
Machine Translation (SP)
|
100% |
754
13.0 IPS |
|
|
Machine Translation (HP)
|
98% |
1191
20.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1215
20.9 IPS |
