LENOVO LEGION T7
Geekbench AI Score
14092
Single Precision Score
21824
Half Precision Score
9411
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 18 2024 09:49 PM |
| Views | 2 |
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% |
5278
981.5 IPS |
|
|
Image Classification (HP)
|
100% |
8022
1.49 KIPS |
|
|
Image Classification (Q)
|
100% |
3688
685.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
9185
148.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
11046
179.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
7590
123.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
84564
98.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
224152
261.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
69120
80.9 IPS |
|
|
Object Detection (SP)
|
100% |
7257
575.7 IPS |
|
|
Object Detection (HP)
|
100% |
10753
852.9 IPS |
|
|
Object Detection (Q)
|
89% |
5058
404.9 IPS |
|
|
Face Detection (SP)
|
100% |
15148
180.0 IPS |
|
|
Face Detection (HP)
|
100% |
21950
260.8 IPS |
|
|
Face Detection (Q)
|
97% |
11818
140.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
35672
274.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
64696
498.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
23966
193.0 IPS |
|
|
Style Transfer (SP)
|
100% |
140921
181.2 IPS |
|
|
Style Transfer (HP)
|
100% |
302598
389.0 IPS |
|
|
Style Transfer (Q)
|
98% |
113972
147.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24711
912.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33648
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15710
581.7 IPS |
|
|
Text Classification (SP)
|
100% |
2147
2.87 KIPS |
|
|
Text Classification (HP)
|
99% |
3131
4.18 KIPS |
|
|
Text Classification (Q)
|
97% |
1037
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
2570
44.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2535
43.7 IPS |
|
|
Machine Translation (Q)
|
60% |
1060
23.7 IPS |
