LENOVO FFFFFFFFFF
Geekbench ML Score
13385
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 30 2024 08:49 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% |
6380
1.19 KIPS |
|
|
Image Classification (F16)
|
100% |
6483
1.21 KIPS |
|
|
Image Classification (I8)
|
100% |
5616
1.05 KIPS |
|
|
Image Segmentation (F32)
|
100% |
9734
162.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
10019
167.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
8163
136.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
80644
97.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
80114
97.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
72418
87.7 IPS |
|
|
Object Detection (F32)
|
100% |
5334
398.2 IPS |
|
|
Object Detection (F16)
|
100% |
5243
391.4 IPS |
|
|
Object Detection (I8)
|
61% |
4826
360.3 IPS |
|
|
Face Detection (F32)
|
100% |
16198
192.6 IPS |
|
|
Face Detection (F16)
|
100% |
15254
181.4 IPS |
|
|
Face Detection (I8)
|
89% |
13912
165.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
36052
279.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
32022
248.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
28488
220.9 IPS |
|
|
Style Transfer (F32)
|
100% |
141133
185.6 IPS |
|
|
Style Transfer (F16)
|
100% |
119661
157.4 IPS |
|
|
Style Transfer (I8)
|
98% |
107810
141.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
19965
713.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
26473
945.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
19030
679.6 IPS |
|
|
Text Classification (F32)
|
100% |
2840
4.08 KIPS |
|
|
Text Classification (F16)
|
100% |
2863
4.12 KIPS |
|
|
Text Classification (I8)
|
98% |
1733
2.49 KIPS |
|
|
Machine Translation (F32)
|
100% |
3250
59.8 IPS |
|
|
Machine Translation (F16)
|
100% |
3291
60.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1727
31.8 IPS |
