LENOVO 20SUS4EX00
Geekbench AI Score
1393
Single Precision Score
2088
Half Precision Score
2029
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 16 2025 11:30 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | LENOVO 20SUS4EX00 |
| Motherboard | LENOVO 20SUS4EX00 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
899
167.3 IPS |
|
|
Image Classification (HP)
|
100% |
1325
246.4 IPS |
|
|
Image Classification (Q)
|
100% |
1231
228.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
903
14.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1684
27.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1748
28.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2532
2.95 IPS |
|
|
Pose Estimation (HP)
|
99% |
2359
2.76 IPS |
|
|
Pose Estimation (Q)
|
97% |
3404
3.99 IPS |
|
|
Object Detection (SP)
|
100% |
927
73.5 IPS |
|
|
Object Detection (HP)
|
99% |
1440
114.6 IPS |
|
|
Object Detection (Q)
|
88% |
1399
112.2 IPS |
|
|
Face Detection (SP)
|
100% |
1618
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
3341
39.7 IPS |
|
|
Face Detection (Q)
|
97% |
3123
37.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2844
21.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
4838
37.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
4425
34.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6912
8.89 IPS |
|
|
Style Transfer (HP)
|
100% |
9446
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
8456
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1175
43.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2142
79.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2034
75.3 IPS |
|
|
Text Classification (SP)
|
71% |
657
950.4 IPS |
|
|
Text Classification (HP)
|
71% |
748
1.08 KIPS |
|
|
Text Classification (Q)
|
92% |
571
767.6 IPS |
|
|
Machine Translation (SP)
|
100% |
590
10.2 IPS |
|
|
Machine Translation (HP)
|
97% |
851
14.7 IPS |
|
|
Machine Translation (Q)
|
98% |
851
14.7 IPS |
