LENOVO FFFFFFFFFF
Geekbench ML Score
13646
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 13 2024 06:35 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% |
6224
1.16 KIPS |
|
|
Image Classification (F16)
|
100% |
6525
1.22 KIPS |
|
|
Image Classification (I8)
|
100% |
5557
1.04 KIPS |
|
|
Image Segmentation (F32)
|
100% |
9849
164.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
9569
159.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
8975
149.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
80403
97.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
81737
99.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
72252
87.5 IPS |
|
|
Object Detection (F32)
|
100% |
4946
369.2 IPS |
|
|
Object Detection (F16)
|
100% |
5213
389.2 IPS |
|
|
Object Detection (I8)
|
61% |
4754
354.9 IPS |
|
|
Face Detection (F32)
|
100% |
16594
197.3 IPS |
|
|
Face Detection (F16)
|
100% |
16143
191.9 IPS |
|
|
Face Detection (I8)
|
89% |
14236
169.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
37271
289.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
36480
282.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
31619
245.2 IPS |
|
|
Style Transfer (F32)
|
100% |
125126
164.6 IPS |
|
|
Style Transfer (F16)
|
100% |
122803
161.5 IPS |
|
|
Style Transfer (I8)
|
98% |
113057
148.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
25689
917.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
26288
938.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
19292
689.0 IPS |
|
|
Text Classification (F32)
|
100% |
2849
4.10 KIPS |
|
|
Text Classification (F16)
|
100% |
2830
4.07 KIPS |
|
|
Text Classification (I8)
|
98% |
1718
2.47 KIPS |
|
|
Machine Translation (F32)
|
100% |
3249
59.8 IPS |
|
|
Machine Translation (F16)
|
100% |
3271
60.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1853
34.1 IPS |
