LENOVO FFFFFFFFFF
Geekbench ML Score
13340
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 30 2024 08:54 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% |
6212
1.16 KIPS |
|
|
Image Classification (F16)
|
100% |
6367
1.19 KIPS |
|
|
Image Classification (I8)
|
100% |
5438
1.02 KIPS |
|
|
Image Segmentation (F32)
|
100% |
9553
159.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
9364
156.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
8746
146.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
81996
99.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
80400
97.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
71560
86.7 IPS |
|
|
Object Detection (F32)
|
100% |
5115
381.8 IPS |
|
|
Object Detection (F16)
|
100% |
5101
380.8 IPS |
|
|
Object Detection (I8)
|
61% |
4783
357.1 IPS |
|
|
Face Detection (F32)
|
100% |
16556
196.9 IPS |
|
|
Face Detection (F16)
|
100% |
15768
187.5 IPS |
|
|
Face Detection (I8)
|
89% |
12755
151.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
36045
279.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
34669
268.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
30890
239.6 IPS |
|
|
Style Transfer (F32)
|
100% |
123375
162.3 IPS |
|
|
Style Transfer (F16)
|
100% |
115659
152.1 IPS |
|
|
Style Transfer (I8)
|
98% |
105577
138.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23881
852.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
26656
952.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
19517
697.0 IPS |
|
|
Text Classification (F32)
|
100% |
2919
4.20 KIPS |
|
|
Text Classification (F16)
|
100% |
2909
4.18 KIPS |
|
|
Text Classification (I8)
|
98% |
1611
2.32 KIPS |
|
|
Machine Translation (F32)
|
100% |
3213
59.1 IPS |
|
|
Machine Translation (F16)
|
100% |
3243
59.7 IPS |
|
|
Machine Translation (I8)
|
70% |
1676
30.9 IPS |
