LENOVO FFFFFFFFFF
Geekbench ML Score
13200
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 04 2024 04:12 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% |
6472
1.21 KIPS |
|
|
Image Classification (F16)
|
100% |
6425
1.20 KIPS |
|
|
Image Classification (I8)
|
100% |
5557
1.04 KIPS |
|
|
Image Segmentation (F32)
|
100% |
9097
151.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
9298
155.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
8629
144.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
80817
97.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
80704
97.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
71975
87.2 IPS |
|
|
Object Detection (F32)
|
100% |
5208
388.8 IPS |
|
|
Object Detection (F16)
|
100% |
5202
388.3 IPS |
|
|
Object Detection (I8)
|
61% |
4529
338.1 IPS |
|
|
Face Detection (F32)
|
100% |
16151
192.0 IPS |
|
|
Face Detection (F16)
|
100% |
15747
187.2 IPS |
|
|
Face Detection (I8)
|
89% |
13348
158.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
35489
275.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
35970
278.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
29695
230.3 IPS |
|
|
Style Transfer (F32)
|
100% |
129763
170.7 IPS |
|
|
Style Transfer (F16)
|
100% |
118742
156.2 IPS |
|
|
Style Transfer (I8)
|
98% |
108058
142.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
25822
922.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
21598
771.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
16203
578.7 IPS |
|
|
Text Classification (F32)
|
100% |
2836
4.08 KIPS |
|
|
Text Classification (F16)
|
100% |
2835
4.07 KIPS |
|
|
Text Classification (I8)
|
98% |
1729
2.49 KIPS |
|
|
Machine Translation (F32)
|
100% |
3002
55.2 IPS |
|
|
Machine Translation (F16)
|
100% |
3035
55.8 IPS |
|
|
Machine Translation (I8)
|
70% |
1740
32.0 IPS |
