LENOVO 90V6000KUS
Geekbench ML Score
21957
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 26 2024 02:37 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 90V6000KUS |
| Motherboard | LENOVO 376A |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 48.0 KB x 16 |
| L2 Cache | 2.00 MB x 4 |
| L3 Cache | 36.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti SUPER |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
10472
1.96 KIPS |
|
|
Image Classification (F16)
|
100% |
11417
2.14 KIPS |
|
|
Image Classification (I8)
|
100% |
9663
1.81 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14596
243.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
15128
252.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
13628
227.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
167830
203.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
168258
203.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
152557
184.7 IPS |
|
|
Object Detection (F32)
|
100% |
7828
584.4 IPS |
|
|
Object Detection (F16)
|
100% |
7502
560.0 IPS |
|
|
Object Detection (I8)
|
56% |
7197
537.3 IPS |
|
|
Face Detection (F32)
|
100% |
31458
374.0 IPS |
|
|
Face Detection (F16)
|
100% |
32770
389.6 IPS |
|
|
Face Detection (I8)
|
89% |
26639
316.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
65914
511.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
63079
489.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
49451
383.5 IPS |
|
|
Style Transfer (F32)
|
100% |
289573
380.9 IPS |
|
|
Style Transfer (F16)
|
100% |
284317
374.0 IPS |
|
|
Style Transfer (I8)
|
98% |
243321
320.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
30059
1.07 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
40201
1.44 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
23292
831.8 IPS |
|
|
Text Classification (F32)
|
100% |
3300
4.74 KIPS |
|
|
Text Classification (F16)
|
100% |
3310
4.76 KIPS |
|
|
Text Classification (I8)
|
98% |
1939
2.79 KIPS |
|
|
Machine Translation (F32)
|
100% |
4157
76.5 IPS |
|
|
Machine Translation (F16)
|
100% |
4211
77.5 IPS |
|
|
Machine Translation (I8)
|
70% |
2365
43.5 IPS |
