LENOVO 82JD
Geekbench ML Score
11654
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 01:41 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 82JD |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 1.25 MB x 8 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6112
1.14 KIPS |
|
|
Image Classification (F16)
|
100% |
6046
1.13 KIPS |
|
|
Image Classification (I8)
|
100% |
4442
831.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
8510
142.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
8483
141.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
6353
106.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
73679
89.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
79112
95.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
63880
77.4 IPS |
|
|
Object Detection (F32)
|
100% |
4156
310.3 IPS |
|
|
Object Detection (F16)
|
100% |
4121
307.6 IPS |
|
|
Object Detection (I8)
|
63% |
3253
242.8 IPS |
|
|
Face Detection (F32)
|
100% |
17451
207.5 IPS |
|
|
Face Detection (F16)
|
100% |
17427
207.2 IPS |
|
|
Face Detection (I8)
|
89% |
12260
145.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
34004
263.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
33869
262.7 IPS |
|
|
Depth Estimation (I8)
|
94% |
22227
172.4 IPS |
|
|
Style Transfer (F32)
|
100% |
137109
180.4 IPS |
|
|
Style Transfer (F16)
|
100% |
120930
159.1 IPS |
|
|
Style Transfer (I8)
|
98% |
101474
133.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23781
849.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
25030
893.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
13186
470.9 IPS |
|
|
Text Classification (F32)
|
100% |
2037
2.93 KIPS |
|
|
Text Classification (F16)
|
100% |
2028
2.91 KIPS |
|
|
Text Classification (I8)
|
98% |
996
1.43 KIPS |
|
|
Machine Translation (F32)
|
100% |
3044
56.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2860
52.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1402
25.8 IPS |
