LENOVO 90V6000KUS
Geekbench ML Score
22314
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 26 2024 02:38 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% |
11146
2.09 KIPS |
|
|
Image Classification (F16)
|
100% |
11184
2.09 KIPS |
|
|
Image Classification (I8)
|
100% |
9160
1.71 KIPS |
|
|
Image Segmentation (F32)
|
100% |
15197
253.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
15687
262.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
13502
225.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
168244
203.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
168853
204.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
151976
184.0 IPS |
|
|
Object Detection (F32)
|
100% |
7886
588.8 IPS |
|
|
Object Detection (F16)
|
100% |
7721
576.4 IPS |
|
|
Object Detection (I8)
|
56% |
7146
533.5 IPS |
|
|
Face Detection (F32)
|
100% |
31620
376.0 IPS |
|
|
Face Detection (F16)
|
100% |
31284
372.0 IPS |
|
|
Face Detection (I8)
|
89% |
26397
313.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
64410
499.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
62546
485.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
48756
378.1 IPS |
|
|
Style Transfer (F32)
|
100% |
236024
310.5 IPS |
|
|
Style Transfer (F16)
|
100% |
252687
332.4 IPS |
|
|
Style Transfer (I8)
|
98% |
231901
305.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
45379
1.62 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
40648
1.45 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
33947
1.21 KIPS |
|
|
Text Classification (F32)
|
100% |
3312
4.76 KIPS |
|
|
Text Classification (F16)
|
100% |
3308
4.75 KIPS |
|
|
Text Classification (I8)
|
98% |
1931
2.77 KIPS |
|
|
Machine Translation (F32)
|
100% |
4254
78.3 IPS |
|
|
Machine Translation (F16)
|
100% |
4257
78.3 IPS |
|
|
Machine Translation (I8)
|
70% |
2442
44.9 IPS |
