LENOVO LEGION T7
Geekbench AI Score
14173
Single Precision Score
22298
Half Precision Score
9622
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 01 2025 02:02 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2080 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO LEGION T7 |
| Motherboard | LENOVO 3715 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10700K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5390
1.00 KIPS |
|
|
Image Classification (HP)
|
100% |
8105
1.51 KIPS |
|
|
Image Classification (Q)
|
100% |
4219
784.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
9295
150.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
11981
194.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
7675
124.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
86333
100.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
217805
254.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
71177
83.3 IPS |
|
|
Object Detection (SP)
|
100% |
6636
526.4 IPS |
|
|
Object Detection (HP)
|
100% |
10931
867.0 IPS |
|
|
Object Detection (Q)
|
89% |
4794
383.8 IPS |
|
|
Face Detection (SP)
|
100% |
15354
182.4 IPS |
|
|
Face Detection (HP)
|
100% |
22131
263.0 IPS |
|
|
Face Detection (Q)
|
97% |
12073
143.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
36792
283.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
66425
511.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
24628
198.4 IPS |
|
|
Style Transfer (SP)
|
100% |
146147
187.9 IPS |
|
|
Style Transfer (HP)
|
100% |
325338
418.2 IPS |
|
|
Style Transfer (Q)
|
98% |
116332
150.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25205
930.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34435
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15962
591.1 IPS |
|
|
Text Classification (SP)
|
100% |
2137
2.85 KIPS |
|
|
Text Classification (HP)
|
99% |
3139
4.19 KIPS |
|
|
Text Classification (Q)
|
97% |
1047
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2564
44.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2543
43.8 IPS |
|
|
Machine Translation (Q)
|
60% |
1066
23.8 IPS |
