Micro-Star International Co., Ltd. MS-7D77
Geekbench AI Score
23976
Single Precision Score
35975
Half Precision Score
21158
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | September 04 2025 10:29 AM |
| Views | 3 |
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 7 7700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11873
2.21 KIPS |
|
|
Image Classification (HP)
|
100% |
14935
2.78 KIPS |
|
|
Image Classification (Q)
|
100% |
11735
2.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11112
180.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
13167
213.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
14850
241.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
131161
153.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
422533
493.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
117800
138.0 IPS |
|
|
Object Detection (SP)
|
100% |
10452
829.1 IPS |
|
|
Object Detection (HP)
|
99% |
15636
1.24 KIPS |
|
|
Object Detection (Q)
|
87% |
10110
812.0 IPS |
|
|
Face Detection (SP)
|
100% |
30018
356.7 IPS |
|
|
Face Detection (HP)
|
100% |
41860
497.4 IPS |
|
|
Face Detection (Q)
|
97% |
26499
315.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
66401
511.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
95008
732.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
55156
442.3 IPS |
|
|
Style Transfer (SP)
|
100% |
236456
304.0 IPS |
|
|
Style Transfer (HP)
|
100% |
457757
588.5 IPS |
|
|
Style Transfer (Q)
|
98% |
206403
266.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37791
1.40 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
69853
2.58 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31772
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3924
5.24 KIPS |
|
|
Text Classification (HP)
|
100% |
4202
5.61 KIPS |
|
|
Text Classification (Q)
|
97% |
2892
3.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
4967
85.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5231
90.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3126
58.6 IPS |
