LENOVO 81Q4
Geekbench AI Score
8544
Single Precision Score
7118
Half Precision Score
6290
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ysy |
| Upload Date | August 16 2024 10:13 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1660 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 81Q4 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Najwysza wydajno |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3052
567.6 IPS |
|
|
Image Classification (HP)
|
100% |
3171
589.6 IPS |
|
|
Image Classification (Q)
|
100% |
2696
501.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6039
97.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5147
83.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5116
83.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
42199
49.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
25283
29.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
36393
42.6 IPS |
|
|
Object Detection (SP)
|
100% |
4387
348.0 IPS |
|
|
Object Detection (HP)
|
100% |
4307
341.6 IPS |
|
|
Object Detection (Q)
|
89% |
3727
298.5 IPS |
|
|
Face Detection (SP)
|
100% |
9382
111.5 IPS |
|
|
Face Detection (HP)
|
100% |
8504
101.0 IPS |
|
|
Face Detection (Q)
|
97% |
7572
90.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
21622
166.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
16984
130.8 IPS |
|
|
Depth Estimation (Q)
|
73% |
15802
129.7 IPS |
|
|
Style Transfer (SP)
|
100% |
71976
92.5 IPS |
|
|
Style Transfer (HP)
|
100% |
49138
63.2 IPS |
|
|
Style Transfer (Q)
|
98% |
60502
78.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13421
495.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10883
401.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9012
333.7 IPS |
|
|
Text Classification (SP)
|
100% |
1468
1.96 KIPS |
|
|
Text Classification (HP)
|
100% |
1144
1.53 KIPS |
|
|
Text Classification (Q)
|
97% |
869
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2114
36.4 IPS |
|
|
Machine Translation (HP)
|
98% |
2127
36.8 IPS |
|
|
Machine Translation (Q)
|
60% |
914
20.4 IPS |
