LENOVO INVALID
Geekbench ML Score
23843
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 27 2025 08:42 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO INVALID |
| Motherboard | LENOVO 3784 |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| L1 Instruction Cache | 64.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 3.00 MB x 2 |
| L3 Cache | 30.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti SUPER |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
11121
2.08 KIPS |
|
|
Image Classification (F16)
|
100% |
11411
2.14 KIPS |
|
|
Image Classification (I8)
|
100% |
9725
1.82 KIPS |
|
|
Image Segmentation (F32)
|
100% |
17051
284.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
16986
283.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
15119
252.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
175518
212.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
175056
212.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
157273
190.5 IPS |
|
|
Object Detection (F32)
|
100% |
8393
626.6 IPS |
|
|
Object Detection (F16)
|
100% |
8216
613.3 IPS |
|
|
Object Detection (I8)
|
56% |
7693
574.3 IPS |
|
|
Face Detection (F32)
|
100% |
34382
408.8 IPS |
|
|
Face Detection (F16)
|
100% |
37158
441.8 IPS |
|
|
Face Detection (I8)
|
89% |
30982
368.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
71145
551.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
67975
527.1 IPS |
|
|
Depth Estimation (I8)
|
94% |
53527
415.1 IPS |
|
|
Style Transfer (F32)
|
100% |
311224
409.4 IPS |
|
|
Style Transfer (F16)
|
100% |
309900
407.6 IPS |
|
|
Style Transfer (I8)
|
98% |
273404
359.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
43553
1.56 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
43102
1.54 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
32920
1.18 KIPS |
|
|
Text Classification (F32)
|
100% |
2906
4.18 KIPS |
|
|
Text Classification (F16)
|
100% |
2762
3.97 KIPS |
|
|
Text Classification (I8)
|
98% |
1787
2.57 KIPS |
|
|
Machine Translation (F32)
|
100% |
4784
88.0 IPS |
|
|
Machine Translation (F16)
|
100% |
4814
88.6 IPS |
|
|
Machine Translation (I8)
|
70% |
2743
50.5 IPS |
