Micro-Star International Co., Ltd. MS-7D77
Geekbench AI Score
24655
Single Precision Score
36729
Half Precision Score
21275
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 23 2025 12:15 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9060 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 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12041
2.24 KIPS |
|
|
Image Classification (HP)
|
100% |
15082
2.80 KIPS |
|
|
Image Classification (Q)
|
100% |
11658
2.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10922
177.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13207
214.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
14774
240.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
135517
158.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
438448
511.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
117885
138.1 IPS |
|
|
Object Detection (SP)
|
100% |
10680
847.1 IPS |
|
|
Object Detection (HP)
|
99% |
15762
1.25 KIPS |
|
|
Object Detection (Q)
|
87% |
9956
799.6 IPS |
|
|
Face Detection (SP)
|
100% |
30314
360.2 IPS |
|
|
Face Detection (HP)
|
100% |
41889
497.7 IPS |
|
|
Face Detection (Q)
|
97% |
26454
315.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
68118
524.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
95731
737.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
56644
454.3 IPS |
|
|
Style Transfer (SP)
|
100% |
246750
317.2 IPS |
|
|
Style Transfer (HP)
|
100% |
477637
614.0 IPS |
|
|
Style Transfer (Q)
|
98% |
210471
271.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39587
1.46 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
72432
2.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32800
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
4208
5.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4343
5.80 KIPS |
|
|
Text Classification (Q)
|
97% |
2990
4.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
5138
88.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5387
92.8 IPS |
|
|
Machine Translation (Q)
|
70% |
3039
57.0 IPS |
