Micro-Star International Co., Ltd. MS-7C56
Geekbench ML Score
13156
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 03:45 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C56 |
| Motherboard | Micro-Star International Co., Ltd. MPG B550 GAMING PLUS (MS-7C56) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 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 | 96.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7053
1.32 KIPS |
|
|
Image Classification (F16)
|
100% |
7030
1.32 KIPS |
|
|
Image Classification (I8)
|
100% |
4833
904.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
10200
170.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
10683
178.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
7935
132.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
97070
117.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
95638
115.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
72577
87.9 IPS |
|
|
Object Detection (F32)
|
100% |
3523
263.0 IPS |
|
|
Object Detection (F16)
|
100% |
3645
272.1 IPS |
|
|
Object Detection (I8)
|
63% |
3861
288.3 IPS |
|
|
Face Detection (F32)
|
100% |
17487
207.9 IPS |
|
|
Face Detection (F16)
|
100% |
19900
236.6 IPS |
|
|
Face Detection (I8)
|
89% |
13120
156.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
38448
298.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
38165
296.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
26496
205.5 IPS |
|
|
Style Transfer (F32)
|
100% |
164519
216.4 IPS |
|
|
Style Transfer (F16)
|
100% |
155789
204.9 IPS |
|
|
Style Transfer (I8)
|
98% |
126019
165.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
28862
1.03 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
27158
969.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
15635
558.4 IPS |
|
|
Text Classification (F32)
|
100% |
1931
2.78 KIPS |
|
|
Text Classification (F16)
|
100% |
1851
2.66 KIPS |
|
|
Text Classification (I8)
|
98% |
1115
1.60 KIPS |
|
|
Machine Translation (F32)
|
100% |
3498
64.4 IPS |
|
|
Machine Translation (F16)
|
100% |
3560
65.5 IPS |
|
|
Machine Translation (I8)
|
70% |
1555
28.6 IPS |
