LENOVO FFFFFFFFFF
Geekbench ML Score
13466
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 03 2024 12:33 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO FFFFFFFFFF |
| Motherboard | LENOVO 3361 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900T |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 1.10 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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6311
1.18 KIPS |
|
|
Image Classification (F16)
|
100% |
6413
1.20 KIPS |
|
|
Image Classification (I8)
|
100% |
5641
1.06 KIPS |
|
|
Image Segmentation (F32)
|
100% |
10535
175.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
10031
167.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
9203
153.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
80582
97.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
81615
98.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
72005
87.2 IPS |
|
|
Object Detection (F32)
|
100% |
5158
385.0 IPS |
|
|
Object Detection (F16)
|
100% |
5147
384.3 IPS |
|
|
Object Detection (I8)
|
61% |
4548
339.6 IPS |
|
|
Face Detection (F32)
|
100% |
14896
177.1 IPS |
|
|
Face Detection (F16)
|
100% |
15337
182.4 IPS |
|
|
Face Detection (I8)
|
89% |
12406
147.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
36737
284.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
31950
247.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
28317
219.6 IPS |
|
|
Style Transfer (F32)
|
100% |
137322
180.6 IPS |
|
|
Style Transfer (F16)
|
100% |
120047
157.9 IPS |
|
|
Style Transfer (I8)
|
98% |
110442
145.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23120
825.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
26700
953.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
19723
704.4 IPS |
|
|
Text Classification (F32)
|
100% |
2870
4.13 KIPS |
|
|
Text Classification (F16)
|
100% |
2847
4.09 KIPS |
|
|
Text Classification (I8)
|
98% |
1761
2.53 KIPS |
|
|
Machine Translation (F32)
|
100% |
3333
61.3 IPS |
|
|
Machine Translation (F16)
|
100% |
3336
61.4 IPS |
|
|
Machine Translation (I8)
|
70% |
1779
32.7 IPS |
