System manufacturer System Product Name
Geekbench ML Score
12160
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 13 2025 09:14 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B450-PLUS |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 4.60 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 512 KB x 6 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2080 Ti |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6699
1.25 KIPS |
|
|
Image Classification (F16)
|
100% |
7278
1.36 KIPS |
|
|
Image Classification (I8)
|
100% |
4919
920.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
9241
154.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
9232
154.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
7002
116.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
73926
89.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
73328
88.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
60109
72.8 IPS |
|
|
Object Detection (F32)
|
100% |
4483
334.7 IPS |
|
|
Object Detection (F16)
|
100% |
4494
335.5 IPS |
|
|
Object Detection (I8)
|
63% |
3568
266.4 IPS |
|
|
Face Detection (F32)
|
100% |
20407
242.6 IPS |
|
|
Face Detection (F16)
|
100% |
20458
243.2 IPS |
|
|
Face Detection (I8)
|
89% |
15118
179.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
35644
276.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
37998
294.7 IPS |
|
|
Depth Estimation (I8)
|
94% |
27311
211.8 IPS |
|
|
Style Transfer (F32)
|
100% |
151838
199.7 IPS |
|
|
Style Transfer (F16)
|
100% |
142897
188.0 IPS |
|
|
Style Transfer (I8)
|
98% |
109310
143.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23513
839.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
22801
814.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
13054
466.2 IPS |
|
|
Text Classification (F32)
|
100% |
1362
1.96 KIPS |
|
|
Text Classification (F16)
|
100% |
1358
1.95 KIPS |
|
|
Text Classification (I8)
|
98% |
905
1.30 KIPS |
|
|
Machine Translation (F32)
|
100% |
3242
59.7 IPS |
|
|
Machine Translation (F16)
|
100% |
3223
59.3 IPS |
|
|
Machine Translation (I8)
|
70% |
1554
28.6 IPS |
