Micro-Star International Co., Ltd. MS-7D77
Geekbench AI Score
23932
Single Precision Score
35794
Half Precision Score
20717
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | August 23 2025 08:51 AM |
| 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 7 9700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12153
2.26 KIPS |
|
|
Image Classification (HP)
|
100% |
15079
2.80 KIPS |
|
|
Image Classification (Q)
|
100% |
11760
2.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10205
165.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
11979
194.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
12960
210.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
133673
156.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
430767
502.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
116731
136.7 IPS |
|
|
Object Detection (SP)
|
100% |
10616
842.0 IPS |
|
|
Object Detection (HP)
|
99% |
15785
1.25 KIPS |
|
|
Object Detection (Q)
|
87% |
9879
793.4 IPS |
|
|
Face Detection (SP)
|
100% |
28809
342.3 IPS |
|
|
Face Detection (HP)
|
100% |
36959
439.2 IPS |
|
|
Face Detection (Q)
|
97% |
25380
302.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
67297
518.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
95945
739.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
56242
451.0 IPS |
|
|
Style Transfer (SP)
|
100% |
245750
315.9 IPS |
|
|
Style Transfer (HP)
|
100% |
479049
615.8 IPS |
|
|
Style Transfer (Q)
|
98% |
207409
267.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39626
1.46 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74044
2.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33358
1.24 KIPS |
|
|
Text Classification (SP)
|
100% |
4157
5.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4814
6.43 KIPS |
|
|
Text Classification (Q)
|
97% |
3005
4.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
4462
76.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4642
80.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2793
52.4 IPS |
