Micro-Star International Co., Ltd. MS-7D70
Geekbench ML Score
28868
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 09:08 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D70 |
| Motherboard | Micro-Star International Co., Ltd. MPG X670E CARBON WIFI (MS-7D70) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 1.00 MB x 16 |
| L3 Cache | 96.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
11326
2.12 KIPS |
|
|
Image Classification (F16)
|
100% |
12473
2.33 KIPS |
|
|
Image Classification (I8)
|
100% |
10583
1.98 KIPS |
|
|
Image Segmentation (F32)
|
100% |
20658
345.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
20840
348.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
19370
323.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
295453
357.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
286326
346.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
253194
306.6 IPS |
|
|
Object Detection (F32)
|
100% |
8319
621.1 IPS |
|
|
Object Detection (F16)
|
100% |
8331
621.9 IPS |
|
|
Object Detection (I8)
|
54% |
7702
575.0 IPS |
|
|
Face Detection (F32)
|
100% |
45940
546.2 IPS |
|
|
Face Detection (F16)
|
100% |
47155
560.7 IPS |
|
|
Face Detection (I8)
|
88% |
38447
457.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
86381
669.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
83845
650.2 IPS |
|
|
Depth Estimation (I8)
|
94% |
63983
496.2 IPS |
|
|
Style Transfer (F32)
|
100% |
491456
646.5 IPS |
|
|
Style Transfer (F16)
|
100% |
491498
646.5 IPS |
|
|
Style Transfer (I8)
|
98% |
420699
553.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
50613
1.81 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
51323
1.83 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
39517
1.41 KIPS |
|
|
Text Classification (F32)
|
100% |
3050
4.38 KIPS |
|
|
Text Classification (F16)
|
100% |
3003
4.32 KIPS |
|
|
Text Classification (I8)
|
98% |
1783
2.56 KIPS |
|
|
Machine Translation (F32)
|
100% |
5127
94.4 IPS |
|
|
Machine Translation (F16)
|
100% |
5077
93.4 IPS |
|
|
Machine Translation (I8)
|
70% |
2663
49.0 IPS |
