Micro-Star International Co., Ltd. MS-7B86
Geekbench ML Score
12118
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 21 2024 12:52 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B86 |
| Motherboard | Micro-Star International Co., Ltd. B550 GAMING GEN3 (MS-7B86) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5500 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.60 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 3060 Ti |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6456
1.21 KIPS |
|
|
Image Classification (F16)
|
100% |
6512
1.22 KIPS |
|
|
Image Classification (I8)
|
100% |
4655
871.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
8965
149.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
8919
149.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
7380
123.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
82104
99.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
83255
100.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
67108
81.3 IPS |
|
|
Object Detection (F32)
|
100% |
4338
323.9 IPS |
|
|
Object Detection (F16)
|
100% |
4261
318.1 IPS |
|
|
Object Detection (I8)
|
63% |
3433
256.3 IPS |
|
|
Face Detection (F32)
|
100% |
16893
200.9 IPS |
|
|
Face Detection (F16)
|
100% |
16989
202.0 IPS |
|
|
Face Detection (I8)
|
89% |
12974
154.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
32252
250.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
35615
276.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
23157
179.6 IPS |
|
|
Style Transfer (F32)
|
100% |
129875
170.8 IPS |
|
|
Style Transfer (F16)
|
100% |
131177
172.6 IPS |
|
|
Style Transfer (I8)
|
98% |
104407
137.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
24746
883.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
24909
889.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
15464
552.3 IPS |
|
|
Text Classification (F32)
|
100% |
2058
2.96 KIPS |
|
|
Text Classification (F16)
|
100% |
2051
2.95 KIPS |
|
|
Text Classification (I8)
|
98% |
1099
1.58 KIPS |
|
|
Machine Translation (F32)
|
100% |
2817
51.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2951
54.3 IPS |
|
|
Machine Translation (I8)
|
70% |
1464
26.9 IPS |
