LENOVO FFFFFFFFFF
Geekbench ML Score
13799
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 04 2024 06:24 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% |
6419
1.20 KIPS |
|
|
Image Classification (F16)
|
100% |
6471
1.21 KIPS |
|
|
Image Classification (I8)
|
100% |
5669
1.06 KIPS |
|
|
Image Segmentation (F32)
|
100% |
10441
174.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
9531
159.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
9150
152.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
81895
99.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
81462
98.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
72007
87.2 IPS |
|
|
Object Detection (F32)
|
100% |
5201
388.3 IPS |
|
|
Object Detection (F16)
|
100% |
5360
400.2 IPS |
|
|
Object Detection (I8)
|
61% |
4738
353.7 IPS |
|
|
Face Detection (F32)
|
100% |
16359
194.5 IPS |
|
|
Face Detection (F16)
|
100% |
16494
196.1 IPS |
|
|
Face Detection (I8)
|
89% |
13635
162.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
37871
293.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
36615
284.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
32283
250.4 IPS |
|
|
Style Transfer (F32)
|
100% |
127170
167.3 IPS |
|
|
Style Transfer (F16)
|
100% |
127907
168.3 IPS |
|
|
Style Transfer (I8)
|
98% |
116650
153.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
26328
940.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
26594
949.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
19381
692.1 IPS |
|
|
Text Classification (F32)
|
100% |
2860
4.11 KIPS |
|
|
Text Classification (F16)
|
100% |
2862
4.11 KIPS |
|
|
Text Classification (I8)
|
98% |
1712
2.46 KIPS |
|
|
Machine Translation (F32)
|
100% |
3198
58.8 IPS |
|
|
Machine Translation (F16)
|
100% |
3210
59.1 IPS |
|
|
Machine Translation (I8)
|
70% |
1890
34.8 IPS |
