LENOVO 20YTS1GE07
Geekbench AI Score
16629
Single Precision Score
28467
Half Precision Score
10783
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 03 2025 08:20 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 Laptop GPU |
| 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% |
6561
1.22 KIPS |
|
|
Image Classification (HP)
|
99% |
10358
1.93 KIPS |
|
|
Image Classification (Q)
|
100% |
5004
930.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
12049
195.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19156
310.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
9182
149.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
80742
94.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
241168
281.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
65712
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
8742
693.4 IPS |
|
|
Object Detection (HP)
|
100% |
14742
1.17 KIPS |
|
|
Object Detection (Q)
|
85% |
6442
518.6 IPS |
|
|
Face Detection (SP)
|
100% |
19852
235.9 IPS |
|
|
Face Detection (HP)
|
100% |
33613
399.4 IPS |
|
|
Face Detection (Q)
|
97% |
15204
181.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
39863
307.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
77830
599.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
27118
217.2 IPS |
|
|
Style Transfer (SP)
|
100% |
139055
178.8 IPS |
|
|
Style Transfer (HP)
|
100% |
392979
505.2 IPS |
|
|
Style Transfer (Q)
|
98% |
110096
142.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26165
966.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37481
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15459
572.4 IPS |
|
|
Text Classification (SP)
|
100% |
2668
3.56 KIPS |
|
|
Text Classification (HP)
|
99% |
3385
4.52 KIPS |
|
|
Text Classification (Q)
|
97% |
1228
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3774
65.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3799
65.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1268
23.8 IPS |
