LENOVO INVALID
Geekbench ML Score
24045
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 27 2025 07:18 AM |
| Views | 2 |
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 | 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% |
11673
2.18 KIPS |
|
|
Image Classification (F16)
|
100% |
11531
2.16 KIPS |
|
|
Image Classification (I8)
|
100% |
10080
1.89 KIPS |
|
|
Image Segmentation (F32)
|
100% |
17134
286.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
16694
278.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
15236
254.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
176237
213.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
174793
211.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
156890
190.0 IPS |
|
|
Object Detection (F32)
|
100% |
8431
629.4 IPS |
|
|
Object Detection (F16)
|
100% |
8266
617.1 IPS |
|
|
Object Detection (I8)
|
56% |
7725
576.7 IPS |
|
|
Face Detection (F32)
|
100% |
35929
427.2 IPS |
|
|
Face Detection (F16)
|
100% |
37082
440.9 IPS |
|
|
Face Detection (I8)
|
89% |
30186
358.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
70734
548.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
67645
524.6 IPS |
|
|
Depth Estimation (I8)
|
94% |
53889
417.9 IPS |
|
|
Style Transfer (F32)
|
100% |
313001
411.7 IPS |
|
|
Style Transfer (F16)
|
100% |
308475
405.8 IPS |
|
|
Style Transfer (I8)
|
98% |
276302
363.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
43231
1.54 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
42879
1.53 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
32768
1.17 KIPS |
|
|
Text Classification (F32)
|
100% |
3006
4.32 KIPS |
|
|
Text Classification (F16)
|
100% |
2982
4.29 KIPS |
|
|
Text Classification (I8)
|
98% |
1826
2.62 KIPS |
|
|
Machine Translation (F32)
|
100% |
4822
88.7 IPS |
|
|
Machine Translation (F16)
|
100% |
4825
88.8 IPS |
|
|
Machine Translation (I8)
|
70% |
2741
50.4 IPS |
