Micro-Star International Co., Ltd. MS-7C91
Geekbench AI Score
4269
Single Precision Score
1645
Half Precision Score
5869
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | purity |
| Upload Date | December 28 2024 09:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C91 |
| Motherboard | Micro-Star International Co., Ltd. MPG B550 GAMING EDGE WIFI (MS-7C91) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3187
592.8 IPS |
|
|
Image Classification (HP)
|
100% |
562
104.5 IPS |
|
|
Image Classification (Q)
|
96% |
5599
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1797
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
794
12.9 IPS |
|
|
Image Segmentation (Q)
|
97% |
3037
49.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9832
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
7087
8.27 IPS |
|
|
Pose Estimation (Q)
|
86% |
18569
22.0 IPS |
|
|
Object Detection (SP)
|
100% |
3409
270.4 IPS |
|
|
Object Detection (HP)
|
100% |
719
57.0 IPS |
|
|
Object Detection (Q)
|
58% |
4293
469.1 IPS |
|
|
Face Detection (SP)
|
100% |
6660
79.1 IPS |
|
|
Face Detection (HP)
|
100% |
1570
18.7 IPS |
|
|
Face Detection (Q)
|
96% |
9468
112.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9123
70.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2400
18.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
13519
107.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21062
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
17320
22.3 IPS |
|
|
Style Transfer (Q)
|
87% |
21625
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2509
92.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2105
77.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3187
118.1 IPS |
|
|
Text Classification (SP)
|
100% |
1378
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
664
885.9 IPS |
|
|
Text Classification (Q)
|
97% |
1349
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2370
40.8 IPS |
|
|
Machine Translation (HP)
|
100% |
701
12.1 IPS |
|
|
Machine Translation (Q)
|
68% |
3009
58.1 IPS |
