LENOVO 21FBS3Y500
Geekbench ML Score
17179
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 29 2024 08:09 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21FBS3Y500 |
| Motherboard | LENOVO 21FBS3Y500 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13850HX |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| L1 Instruction Cache | 32.0 KB x 14 |
| L1 Data Cache | 48.0 KB x 14 |
| L2 Cache | 2.00 MB x 3 |
| L3 Cache | 30.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 4000 Ada Generation Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
8381
1.57 KIPS |
|
|
Image Classification (F16)
|
100% |
8318
1.56 KIPS |
|
|
Image Classification (I8)
|
100% |
7442
1.39 KIPS |
|
|
Image Segmentation (F32)
|
100% |
12010
200.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
11816
197.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
10795
180.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
132203
160.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
131956
159.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
121237
146.8 IPS |
|
|
Object Detection (F32)
|
100% |
5640
421.1 IPS |
|
|
Object Detection (F16)
|
100% |
5702
425.7 IPS |
|
|
Object Detection (I8)
|
63% |
5262
392.8 IPS |
|
|
Face Detection (F32)
|
100% |
24384
289.9 IPS |
|
|
Face Detection (F16)
|
100% |
24100
286.6 IPS |
|
|
Face Detection (I8)
|
89% |
21789
259.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
50171
389.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
41436
321.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
37559
291.3 IPS |
|
|
Style Transfer (F32)
|
100% |
216018
284.2 IPS |
|
|
Style Transfer (F16)
|
100% |
211520
278.2 IPS |
|
|
Style Transfer (I8)
|
98% |
193169
254.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
31542
1.13 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
32038
1.14 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
25306
903.8 IPS |
|
|
Text Classification (F32)
|
100% |
2118
3.04 KIPS |
|
|
Text Classification (F16)
|
100% |
1969
2.83 KIPS |
|
|
Text Classification (I8)
|
98% |
1269
1.82 KIPS |
|
|
Machine Translation (F32)
|
100% |
3819
70.3 IPS |
|
|
Machine Translation (F16)
|
100% |
3771
69.4 IPS |
|
|
Machine Translation (I8)
|
70% |
2297
42.3 IPS |
