Micro-Star International Co., Ltd. MS-7C56
Geekbench ML Score
22124
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 02:59 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C56 |
| Motherboard | Micro-Star International Co., Ltd. MPG B550 GAMING PLUS (MS-7C56) |
| Power Plan | 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 4070 Ti |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
10073
1.88 KIPS |
|
|
Image Classification (F16)
|
100% |
10535
1.97 KIPS |
|
|
Image Classification (I8)
|
100% |
9092
1.70 KIPS |
|
|
Image Segmentation (F32)
|
100% |
15852
264.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
16359
273.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
15041
251.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
171060
207.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
171768
208.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
153807
186.3 IPS |
|
|
Object Detection (F32)
|
100% |
6027
449.9 IPS |
|
|
Object Detection (F16)
|
100% |
6100
455.4 IPS |
|
|
Object Detection (I8)
|
56% |
5670
423.3 IPS |
|
|
Face Detection (F32)
|
100% |
33157
394.2 IPS |
|
|
Face Detection (F16)
|
100% |
34786
413.6 IPS |
|
|
Face Detection (I8)
|
89% |
27810
330.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
68275
529.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
62112
481.7 IPS |
|
|
Depth Estimation (I8)
|
94% |
51022
395.7 IPS |
|
|
Style Transfer (F32)
|
100% |
291204
383.1 IPS |
|
|
Style Transfer (F16)
|
100% |
293482
386.1 IPS |
|
|
Style Transfer (I8)
|
98% |
258135
339.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
42934
1.53 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
42723
1.53 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
32398
1.16 KIPS |
|
|
Text Classification (F32)
|
100% |
2666
3.83 KIPS |
|
|
Text Classification (F16)
|
100% |
2674
3.84 KIPS |
|
|
Text Classification (I8)
|
98% |
1783
2.56 KIPS |
|
|
Machine Translation (F32)
|
100% |
4418
81.3 IPS |
|
|
Machine Translation (F16)
|
100% |
4516
83.1 IPS |
|
|
Machine Translation (I8)
|
70% |
2714
49.9 IPS |
