Micro-Star International Co., Ltd. MS-7D77
Geekbench AI Score
34362
Single Precision Score
46774
Half Precision Score
29644
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 02 2025 06:47 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D77 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650M-A WIFI (MS-7D77) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X 6-Core Processor |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15984
2.97 KIPS |
|
|
Image Classification (HP)
|
100% |
17954
3.34 KIPS |
|
|
Image Classification (Q)
|
99% |
14838
2.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17830
289.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20015
324.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
21630
351.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
216746
252.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
637275
743.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
192293
225.2 IPS |
|
|
Object Detection (SP)
|
100% |
18187
1.44 KIPS |
|
|
Object Detection (HP)
|
99% |
21612
1.71 KIPS |
|
|
Object Detection (Q)
|
87% |
16855
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
50223
596.8 IPS |
|
|
Face Detection (HP)
|
100% |
58166
691.1 IPS |
|
|
Face Detection (Q)
|
97% |
47044
560.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
88032
678.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
129789
999.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
72449
580.6 IPS |
|
|
Style Transfer (SP)
|
100% |
410793
528.1 IPS |
|
|
Style Transfer (HP)
|
100% |
733673
943.1 IPS |
|
|
Style Transfer (Q)
|
98% |
368048
474.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52089
1.92 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
83247
3.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44178
1.64 KIPS |
|
|
Text Classification (SP)
|
100% |
3534
4.72 KIPS |
|
|
Text Classification (HP)
|
100% |
3536
4.72 KIPS |
|
|
Text Classification (Q)
|
97% |
2394
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
6111
105.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6212
107.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3798
71.2 IPS |
