LENOVO FFFFFFFFFF
Geekbench ML Score
13594
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 04 2024 06:26 AM |
| Views | 3 |
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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6068
1.14 KIPS |
|
|
Image Classification (F16)
|
100% |
6358
1.19 KIPS |
|
|
Image Classification (I8)
|
100% |
5463
1.02 KIPS |
|
|
Image Segmentation (F32)
|
100% |
9610
160.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
9440
157.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
9015
150.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
81548
98.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
81487
98.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
71375
86.4 IPS |
|
|
Object Detection (F32)
|
100% |
5141
383.8 IPS |
|
|
Object Detection (F16)
|
100% |
5084
379.6 IPS |
|
|
Object Detection (I8)
|
61% |
4803
358.6 IPS |
|
|
Face Detection (F32)
|
100% |
15845
188.4 IPS |
|
|
Face Detection (F16)
|
100% |
16605
197.4 IPS |
|
|
Face Detection (I8)
|
89% |
12706
151.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
37609
291.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
37983
294.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
32148
249.3 IPS |
|
|
Style Transfer (F32)
|
100% |
126095
165.9 IPS |
|
|
Style Transfer (F16)
|
100% |
128525
169.1 IPS |
|
|
Style Transfer (I8)
|
98% |
114538
150.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
26487
945.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
26694
953.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
18311
653.9 IPS |
|
|
Text Classification (F32)
|
100% |
2847
4.09 KIPS |
|
|
Text Classification (F16)
|
100% |
2827
4.06 KIPS |
|
|
Text Classification (I8)
|
98% |
1747
2.51 KIPS |
|
|
Machine Translation (F32)
|
100% |
3184
58.6 IPS |
|
|
Machine Translation (F16)
|
100% |
3172
58.4 IPS |
|
|
Machine Translation (I8)
|
70% |
1865
34.3 IPS |
