LENOVO FFFFFFFFFF
Geekbench ML Score
13240
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 04 2024 04:10 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 | 64.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 4.00 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% |
6246
1.17 KIPS |
|
|
Image Classification (F16)
|
100% |
6258
1.17 KIPS |
|
|
Image Classification (I8)
|
100% |
5717
1.07 KIPS |
|
|
Image Segmentation (F32)
|
100% |
9297
155.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
9057
151.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
8539
142.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
82569
100.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
82487
99.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
71588
86.7 IPS |
|
|
Object Detection (F32)
|
100% |
5242
391.3 IPS |
|
|
Object Detection (F16)
|
100% |
5329
397.8 IPS |
|
|
Object Detection (I8)
|
61% |
4914
366.9 IPS |
|
|
Face Detection (F32)
|
100% |
16024
190.5 IPS |
|
|
Face Detection (F16)
|
100% |
16649
198.0 IPS |
|
|
Face Detection (I8)
|
89% |
12886
153.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
35874
278.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
37041
287.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
27968
216.9 IPS |
|
|
Style Transfer (F32)
|
100% |
135807
178.6 IPS |
|
|
Style Transfer (F16)
|
100% |
124283
163.5 IPS |
|
|
Style Transfer (I8)
|
98% |
109926
144.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
19406
693.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
25088
896.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
16195
578.4 IPS |
|
|
Text Classification (F32)
|
100% |
2833
4.07 KIPS |
|
|
Text Classification (F16)
|
100% |
2844
4.09 KIPS |
|
|
Text Classification (I8)
|
98% |
1732
2.49 KIPS |
|
|
Machine Translation (F32)
|
100% |
3051
56.2 IPS |
|
|
Machine Translation (F16)
|
100% |
3010
55.4 IPS |
|
|
Machine Translation (I8)
|
70% |
1762
32.4 IPS |
