LENOVO FFFFFFFFFF
Geekbench ML Score
13447
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 03 2024 12:32 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% |
6005
1.12 KIPS |
|
|
Image Classification (F16)
|
100% |
6397
1.20 KIPS |
|
|
Image Classification (I8)
|
100% |
5315
994.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
9738
162.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
9683
161.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
9130
152.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
80971
98.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
82514
99.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
71248
86.3 IPS |
|
|
Object Detection (F32)
|
100% |
5125
382.6 IPS |
|
|
Object Detection (F16)
|
100% |
5046
376.7 IPS |
|
|
Object Detection (I8)
|
61% |
4445
331.8 IPS |
|
|
Face Detection (F32)
|
100% |
15415
183.3 IPS |
|
|
Face Detection (F16)
|
100% |
16371
194.7 IPS |
|
|
Face Detection (I8)
|
89% |
13157
156.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
35991
279.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
32842
254.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
29505
228.8 IPS |
|
|
Style Transfer (F32)
|
100% |
133160
175.2 IPS |
|
|
Style Transfer (F16)
|
100% |
122804
161.5 IPS |
|
|
Style Transfer (I8)
|
98% |
106140
139.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
25288
903.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
26695
953.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
19729
704.6 IPS |
|
|
Text Classification (F32)
|
100% |
2882
4.14 KIPS |
|
|
Text Classification (F16)
|
100% |
2807
4.03 KIPS |
|
|
Text Classification (I8)
|
98% |
1725
2.48 KIPS |
|
|
Machine Translation (F32)
|
100% |
3299
60.7 IPS |
|
|
Machine Translation (F16)
|
100% |
3297
60.7 IPS |
|
|
Machine Translation (I8)
|
70% |
1849
34.0 IPS |
