Micro-Star International Co., Ltd. MS-7D75
Geekbench AI Score
6691
Single Precision Score
7276
Half Precision Score
4756
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | romulus_ut3 |
| Upload Date | May 25 2025 06:55 AM |
| Views | 7 |
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% |
2697
501.5 IPS |
|
|
Image Classification (HP)
|
100% |
3095
575.6 IPS |
|
|
Image Classification (Q)
|
100% |
2205
410.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3315
53.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3655
59.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2757
44.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
36455
42.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
39397
46.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
31480
36.9 IPS |
|
|
Object Detection (SP)
|
100% |
3060
242.7 IPS |
|
|
Object Detection (HP)
|
100% |
3132
248.4 IPS |
|
|
Object Detection (Q)
|
88% |
2513
201.5 IPS |
|
|
Face Detection (SP)
|
100% |
7936
94.3 IPS |
|
|
Face Detection (HP)
|
100% |
10718
127.4 IPS |
|
|
Face Detection (Q)
|
97% |
6466
77.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
15760
121.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
17787
137.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
11239
90.1 IPS |
|
|
Style Transfer (SP)
|
100% |
67366
86.6 IPS |
|
|
Style Transfer (HP)
|
100% |
74038
95.2 IPS |
|
|
Style Transfer (Q)
|
98% |
50943
65.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9192
339.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10036
370.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5928
219.5 IPS |
|
|
Text Classification (SP)
|
100% |
1122
1.50 KIPS |
|
|
Text Classification (HP)
|
100% |
1004
1.34 KIPS |
|
|
Text Classification (Q)
|
97% |
649
869.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2076
35.8 IPS |
|
|
Machine Translation (HP)
|
96% |
2096
36.3 IPS |
|
|
Machine Translation (Q)
|
70% |
866
16.2 IPS |
