Micro-Star International Co., Ltd. MS-7C84
Geekbench ML Score
15586
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 22 2024 03:50 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C84 |
| Motherboard | Micro-Star International Co., Ltd. MAG X570 TOMAHAWK WIFI (MS-7C84) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 32.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
8033
1.50 KIPS |
|
|
Image Classification (F16)
|
100% |
8723
1.63 KIPS |
|
|
Image Classification (I8)
|
99% |
2478
463.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
13550
226.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
13366
223.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
3373
56.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
126216
152.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
126811
153.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
135525
164.1 IPS |
|
|
Object Detection (F32)
|
100% |
5332
398.1 IPS |
|
|
Object Detection (F16)
|
100% |
5395
402.7 IPS |
|
|
Object Detection (I8)
|
56% |
3931
293.4 IPS |
|
|
Face Detection (F32)
|
100% |
27589
328.0 IPS |
|
|
Face Detection (F16)
|
100% |
27859
331.2 IPS |
|
|
Face Detection (I8)
|
89% |
4775
56.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
50692
393.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
49944
387.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
20085
155.8 IPS |
|
|
Style Transfer (F32)
|
100% |
226987
298.6 IPS |
|
|
Style Transfer (F16)
|
100% |
226450
297.9 IPS |
|
|
Style Transfer (I8)
|
98% |
230318
303.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
33416
1.19 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
33361
1.19 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
27600
985.7 IPS |
|
|
Text Classification (F32)
|
100% |
2437
3.50 KIPS |
|
|
Text Classification (F16)
|
100% |
2430
3.49 KIPS |
|
|
Text Classification (I8)
|
98% |
1466
2.11 KIPS |
|
|
Machine Translation (F32)
|
100% |
4012
73.8 IPS |
|
|
Machine Translation (F16)
|
100% |
3994
73.5 IPS |
|
|
Machine Translation (I8)
|
70% |
2461
45.3 IPS |
