System manufacturer System Product Name
Geekbench ML Score
3162
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 04:24 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B450-PLUS |
| Power Plan | Energisparlge |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 2600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 64.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 512 KB x 6 |
| L3 Cache | 8.00 MB x 2 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1050 Ti |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1385
259.1 IPS |
|
|
Image Classification (F16)
|
100% |
1406
263.1 IPS |
|
|
Image Classification (I8)
|
100% |
1186
222.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
2015
33.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1977
33.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
1683
28.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
13409
16.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
12551
15.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
11045
13.4 IPS |
|
|
Object Detection (F32)
|
100% |
1171
87.5 IPS |
|
|
Object Detection (F16)
|
100% |
1167
87.1 IPS |
|
|
Object Detection (I8)
|
58% |
1079
80.6 IPS |
|
|
Face Detection (F32)
|
100% |
3037
36.1 IPS |
|
|
Face Detection (F16)
|
100% |
3029
36.0 IPS |
|
|
Face Detection (I8)
|
89% |
2477
29.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
6854
53.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
6963
54.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
5863
45.5 IPS |
|
|
Style Transfer (F32)
|
100% |
29322
38.6 IPS |
|
|
Style Transfer (F16)
|
100% |
30372
40.0 IPS |
|
|
Style Transfer (I8)
|
98% |
24861
32.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5431
194.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4847
173.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3259
116.4 IPS |
|
|
Text Classification (F32)
|
100% |
843
1.21 KIPS |
|
|
Text Classification (F16)
|
100% |
999
1.44 KIPS |
|
|
Text Classification (I8)
|
98% |
656
942.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1862
34.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1891
34.8 IPS |
|
|
Machine Translation (I8)
|
70% |
1001
18.4 IPS |
