LENOVO FFFFFFFFFF
Geekbench ML Score
13239
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 04 2024 04:13 AM |
| 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6069
1.14 KIPS |
|
|
Image Classification (F16)
|
100% |
6402
1.20 KIPS |
|
|
Image Classification (I8)
|
100% |
5425
1.02 KIPS |
|
|
Image Segmentation (F32)
|
100% |
9190
153.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
9306
155.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
8684
145.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
80467
97.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
81028
98.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
71085
86.1 IPS |
|
|
Object Detection (F32)
|
100% |
5264
393.0 IPS |
|
|
Object Detection (F16)
|
100% |
4884
364.6 IPS |
|
|
Object Detection (I8)
|
61% |
4787
357.4 IPS |
|
|
Face Detection (F32)
|
100% |
15291
181.8 IPS |
|
|
Face Detection (F16)
|
100% |
15810
188.0 IPS |
|
|
Face Detection (I8)
|
89% |
12422
147.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
35201
273.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
31735
246.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
29116
225.8 IPS |
|
|
Style Transfer (F32)
|
100% |
127384
167.6 IPS |
|
|
Style Transfer (F16)
|
100% |
118970
156.5 IPS |
|
|
Style Transfer (I8)
|
98% |
114321
150.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
26492
946.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
26826
958.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17932
640.4 IPS |
|
|
Text Classification (F32)
|
100% |
2902
4.17 KIPS |
|
|
Text Classification (F16)
|
100% |
2868
4.12 KIPS |
|
|
Text Classification (I8)
|
98% |
1714
2.46 KIPS |
|
|
Machine Translation (F32)
|
100% |
3019
55.6 IPS |
|
|
Machine Translation (F16)
|
100% |
3010
55.4 IPS |
|
|
Machine Translation (I8)
|
70% |
1816
33.4 IPS |
