LENOVO FFFFFFFFFF
Geekbench ML Score
13547
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 02 2024 08:05 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5954
1.11 KIPS |
|
|
Image Classification (F16)
|
100% |
6624
1.24 KIPS |
|
|
Image Classification (I8)
|
100% |
5661
1.06 KIPS |
|
|
Image Segmentation (F32)
|
100% |
9346
156.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
8963
149.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
8372
139.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
82005
99.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
81721
99.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
72270
87.5 IPS |
|
|
Object Detection (F32)
|
100% |
5277
393.9 IPS |
|
|
Object Detection (F16)
|
100% |
5111
381.6 IPS |
|
|
Object Detection (I8)
|
61% |
4846
361.8 IPS |
|
|
Face Detection (F32)
|
100% |
17153
204.0 IPS |
|
|
Face Detection (F16)
|
100% |
17176
204.2 IPS |
|
|
Face Detection (I8)
|
89% |
14305
170.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
37040
287.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
36080
279.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
32879
255.0 IPS |
|
|
Style Transfer (F32)
|
100% |
122535
161.2 IPS |
|
|
Style Transfer (F16)
|
100% |
128116
168.5 IPS |
|
|
Style Transfer (I8)
|
98% |
108897
143.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
26713
954.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
25963
927.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
18950
676.8 IPS |
|
|
Text Classification (F32)
|
100% |
2870
4.13 KIPS |
|
|
Text Classification (F16)
|
100% |
2909
4.18 KIPS |
|
|
Text Classification (I8)
|
98% |
1725
2.48 KIPS |
|
|
Machine Translation (F32)
|
100% |
2962
54.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2934
54.0 IPS |
|
|
Machine Translation (I8)
|
70% |
1749
32.2 IPS |
