Micro-Star International Co., Ltd. MS-7E49
Geekbench ML Score
5366
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 27 2024 03:35 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E49 |
| Motherboard | Micro-Star International Co., Ltd. MPG X870E CARBON WIFI (MS-7E49) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 96.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2507
469.1 IPS |
|
|
Image Classification (F16)
|
100% |
2487
465.4 IPS |
|
|
Image Classification (I8)
|
99% |
5823
1.09 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2457
41.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
2471
41.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
3746
62.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
8229
9.97 IPS |
|
|
Pose Estimation (F16)
|
100% |
8199
9.93 IPS |
|
|
Pose Estimation (I8)
|
100% |
26469
32.1 IPS |
|
|
Object Detection (F32)
|
100% |
2630
196.3 IPS |
|
|
Object Detection (F16)
|
100% |
2593
193.6 IPS |
|
|
Object Detection (I8)
|
62% |
2690
200.8 IPS |
|
|
Face Detection (F32)
|
100% |
6894
82.0 IPS |
|
|
Face Detection (F16)
|
100% |
6947
82.6 IPS |
|
|
Face Detection (I8)
|
89% |
7842
93.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
9882
76.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
10033
77.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
21859
169.5 IPS |
|
|
Style Transfer (F32)
|
100% |
20858
27.4 IPS |
|
|
Style Transfer (F16)
|
100% |
20775
27.3 IPS |
|
|
Style Transfer (I8)
|
98% |
31884
41.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3957
141.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3947
141.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4930
176.1 IPS |
|
|
Text Classification (F32)
|
100% |
2136
3.07 KIPS |
|
|
Text Classification (F16)
|
100% |
2135
3.07 KIPS |
|
|
Text Classification (I8)
|
98% |
1500
2.16 KIPS |
|
|
Machine Translation (F32)
|
100% |
3300
60.7 IPS |
|
|
Machine Translation (F16)
|
100% |
3310
60.9 IPS |
|
|
Machine Translation (I8)
|
67% |
4431
81.5 IPS |
