LENOVO 81YH
Geekbench ML Score
1604
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 05:07 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | LENOVO 81YH |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1065G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 126 Stepping 5 |
| Base Frequency | 1.50 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 48.0 KB x 4 |
| L2 Cache | 512 KB x 4 |
| L3 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce MX350 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
455
85.1 IPS |
|
|
Image Classification (F16)
|
100% |
454
85.0 IPS |
|
|
Image Classification (I8)
|
100% |
416
77.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1106
18.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1105
18.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
935
15.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
7900
9.57 IPS |
|
|
Pose Estimation (F16)
|
100% |
7886
9.55 IPS |
|
|
Pose Estimation (I8)
|
100% |
6734
8.15 IPS |
|
|
Object Detection (F32)
|
100% |
574
42.9 IPS |
|
|
Object Detection (F16)
|
100% |
551
41.1 IPS |
|
|
Object Detection (I8)
|
60% |
509
38.0 IPS |
|
|
Face Detection (F32)
|
100% |
1202
14.3 IPS |
|
|
Face Detection (F16)
|
100% |
1201
14.3 IPS |
|
|
Face Detection (I8)
|
89% |
1034
12.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
3893
30.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
3945
30.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
3250
25.2 IPS |
|
|
Style Transfer (F32)
|
100% |
19984
26.3 IPS |
|
|
Style Transfer (F16)
|
100% |
20328
26.7 IPS |
|
|
Style Transfer (I8)
|
98% |
15125
19.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3434
122.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3206
114.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2138
76.3 IPS |
|
|
Text Classification (F32)
|
100% |
379
545.3 IPS |
|
|
Text Classification (F16)
|
100% |
378
543.6 IPS |
|
|
Text Classification (I8)
|
98% |
388
558.3 IPS |
|
|
Machine Translation (F32)
|
100% |
855
15.7 IPS |
|
|
Machine Translation (F16)
|
100% |
865
15.9 IPS |
|
|
Machine Translation (I8)
|
70% |
491
9.03 IPS |
