LENOVO 81UJ
Geekbench AI Score
10125
Single Precision Score
15871
Half Precision Score
7265
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 10:31 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2070 with Max-Q Design |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 81UJ |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4636
862.2 IPS |
|
|
Image Classification (HP)
|
100% |
6663
1.24 KIPS |
|
|
Image Classification (Q)
|
99% |
3446
642.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
6775
109.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8174
132.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5756
93.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
51649
60.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
146882
171.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
43458
50.9 IPS |
|
|
Object Detection (SP)
|
100% |
5002
396.8 IPS |
|
|
Object Detection (HP)
|
100% |
8181
649.0 IPS |
|
|
Object Detection (Q)
|
84% |
4107
331.2 IPS |
|
|
Face Detection (SP)
|
100% |
11606
137.9 IPS |
|
|
Face Detection (HP)
|
100% |
16954
201.5 IPS |
|
|
Face Detection (Q)
|
97% |
9621
114.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
26876
207.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
46802
360.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
18632
149.2 IPS |
|
|
Style Transfer (SP)
|
100% |
85207
109.5 IPS |
|
|
Style Transfer (HP)
|
100% |
181262
233.0 IPS |
|
|
Style Transfer (Q)
|
98% |
74514
96.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16774
619.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24638
909.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10682
395.5 IPS |
|
|
Text Classification (SP)
|
100% |
1509
2.01 KIPS |
|
|
Text Classification (HP)
|
99% |
2105
2.81 KIPS |
|
|
Text Classification (Q)
|
97% |
846
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
2076
35.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2078
35.8 IPS |
|
|
Machine Translation (Q)
|
70% |
959
18.0 IPS |
