LENOVO 80WK
Geekbench AI Score
2186
Single Precision Score
2219
Half Precision Score
1683
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | paisarn |
| Upload Date | July 23 2025 05:51 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1050 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | LENOVO 80WK |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7300HQ |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
781
145.3 IPS |
|
|
Image Classification (HP)
|
100% |
795
147.9 IPS |
|
|
Image Classification (Q)
|
100% |
717
133.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1485
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1527
24.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1212
19.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7923
9.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
8049
9.39 IPS |
|
|
Pose Estimation (Q)
|
96% |
7209
8.44 IPS |
|
|
Object Detection (SP)
|
100% |
1132
89.8 IPS |
|
|
Object Detection (HP)
|
100% |
1142
90.6 IPS |
|
|
Object Detection (Q)
|
85% |
954
76.7 IPS |
|
|
Face Detection (SP)
|
100% |
2340
27.8 IPS |
|
|
Face Detection (HP)
|
100% |
2508
29.8 IPS |
|
|
Face Detection (Q)
|
97% |
1976
23.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3659
28.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3782
29.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
3124
25.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15472
19.9 IPS |
|
|
Style Transfer (HP)
|
100% |
15743
20.2 IPS |
|
|
Style Transfer (Q)
|
98% |
13450
17.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2839
104.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2964
109.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2136
79.1 IPS |
|
|
Text Classification (SP)
|
100% |
537
716.5 IPS |
|
|
Text Classification (HP)
|
100% |
506
675.2 IPS |
|
|
Text Classification (Q)
|
97% |
323
433.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1191
20.5 IPS |
|
|
Machine Translation (HP)
|
96% |
1160
20.1 IPS |
|
|
Machine Translation (Q)
|
70% |
533
9.99 IPS |
