Micro-Star International Co., Ltd. MS-7B79
Geekbench AI Score
1959
Single Precision Score
959
Half Precision Score
2313
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 02:22 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 3900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B79 |
| Motherboard | Micro-Star International Co., Ltd. X470 GAMING PLUS (MS-7B79) |
| Power Plan | AMD Ryzen High Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
924
171.8 IPS |
|
|
Image Classification (HP)
|
100% |
322
59.8 IPS |
|
|
Image Classification (Q)
|
96% |
1743
325.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
776
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
415
6.73 IPS |
|
|
Image Segmentation (Q)
|
97% |
1790
29.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7753
9.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
4613
5.38 IPS |
|
|
Pose Estimation (Q)
|
87% |
7949
9.39 IPS |
|
|
Object Detection (SP)
|
100% |
1110
88.0 IPS |
|
|
Object Detection (HP)
|
100% |
410
32.5 IPS |
|
|
Object Detection (Q)
|
86% |
966
77.6 IPS |
|
|
Face Detection (SP)
|
100% |
1713
20.4 IPS |
|
|
Face Detection (HP)
|
100% |
878
10.4 IPS |
|
|
Face Detection (Q)
|
96% |
2498
29.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4783
36.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1519
11.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
3925
31.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13779
17.7 IPS |
|
|
Style Transfer (HP)
|
100% |
12311
15.8 IPS |
|
|
Style Transfer (Q)
|
87% |
11275
14.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1378
50.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1167
43.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1576
58.4 IPS |
|
|
Text Classification (SP)
|
100% |
757
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
347
463.1 IPS |
|
|
Text Classification (Q)
|
97% |
714
956.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1151
19.8 IPS |
|
|
Machine Translation (HP)
|
100% |
393
6.78 IPS |
|
|
Machine Translation (Q)
|
60% |
1474
32.9 IPS |
