LENOVO INVALID
Geekbench ML Score
24336
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 27 2025 08:04 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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti SUPER |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
11935
2.23 KIPS |
|
|
Image Classification (F16)
|
100% |
11715
2.19 KIPS |
|
|
Image Classification (I8)
|
100% |
10028
1.88 KIPS |
|
|
Image Segmentation (F32)
|
100% |
18022
301.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
17165
286.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
15841
264.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
175963
213.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
175764
212.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
157561
190.8 IPS |
|
|
Object Detection (F32)
|
100% |
8269
617.3 IPS |
|
|
Object Detection (F16)
|
100% |
8133
607.1 IPS |
|
|
Object Detection (I8)
|
56% |
7536
562.6 IPS |
|
|
Face Detection (F32)
|
100% |
36740
436.8 IPS |
|
|
Face Detection (F16)
|
100% |
37871
450.3 IPS |
|
|
Face Detection (I8)
|
89% |
31754
377.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
68822
533.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
68065
527.8 IPS |
|
|
Depth Estimation (I8)
|
94% |
54138
419.8 IPS |
|
|
Style Transfer (F32)
|
100% |
310082
407.9 IPS |
|
|
Style Transfer (F16)
|
100% |
310669
408.7 IPS |
|
|
Style Transfer (I8)
|
98% |
273794
360.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
46727
1.67 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
46670
1.67 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
31853
1.14 KIPS |
|
|
Text Classification (F32)
|
100% |
2956
4.25 KIPS |
|
|
Text Classification (F16)
|
100% |
2998
4.31 KIPS |
|
|
Text Classification (I8)
|
98% |
1833
2.63 KIPS |
|
|
Machine Translation (F32)
|
100% |
4941
90.9 IPS |
|
|
Machine Translation (F16)
|
100% |
4947
91.0 IPS |
|
|
Machine Translation (I8)
|
70% |
2797
51.5 IPS |
