Micro-Star International Co., Ltd. MS-7D75
Geekbench AI Score
6518
Single Precision Score
6947
Half Precision Score
4647
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | romulus_ut3 |
| Upload Date | May 25 2025 08:29 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 580 2048SP |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D75 |
| Motherboard | Micro-Star International Co., Ltd. MAG B650 TOMAHAWK WIFI (MS-7D75) |
| Power Plan | Balanced |
| 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 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2727
507.2 IPS |
|
|
Image Classification (HP)
|
100% |
3018
561.2 IPS |
|
|
Image Classification (Q)
|
100% |
2204
409.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3265
52.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3526
57.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2696
43.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
31677
37.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
35552
41.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
27778
32.5 IPS |
|
|
Object Detection (SP)
|
100% |
3076
244.0 IPS |
|
|
Object Detection (HP)
|
100% |
3048
241.8 IPS |
|
|
Object Detection (Q)
|
88% |
2490
199.7 IPS |
|
|
Face Detection (SP)
|
100% |
8524
101.3 IPS |
|
|
Face Detection (HP)
|
100% |
10691
127.0 IPS |
|
|
Face Detection (Q)
|
97% |
6519
77.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
15881
122.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
17274
133.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
11349
91.0 IPS |
|
|
Style Transfer (SP)
|
100% |
59395
76.4 IPS |
|
|
Style Transfer (HP)
|
100% |
65323
84.0 IPS |
|
|
Style Transfer (Q)
|
98% |
49531
63.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8998
332.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9732
359.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5830
215.9 IPS |
|
|
Text Classification (SP)
|
100% |
1086
1.45 KIPS |
|
|
Text Classification (HP)
|
100% |
965
1.29 KIPS |
|
|
Text Classification (Q)
|
97% |
625
837.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2032
35.0 IPS |
|
|
Machine Translation (HP)
|
96% |
2004
34.6 IPS |
|
|
Machine Translation (Q)
|
70% |
857
16.1 IPS |
