Micro-Star International Co., Ltd. MS-7D77
Geekbench AI Score
20112
Single Precision Score
36720
Half Precision Score
15506
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | July 05 2025 12:04 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8555
1.59 KIPS |
|
|
Image Classification (HP)
|
100% |
16003
2.98 KIPS |
|
|
Image Classification (Q)
|
99% |
7507
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13158
213.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19255
312.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
12336
200.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
101116
118.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
309522
361.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
84976
99.5 IPS |
|
|
Object Detection (SP)
|
100% |
10887
863.6 IPS |
|
|
Object Detection (HP)
|
100% |
18021
1.43 KIPS |
|
|
Object Detection (Q)
|
83% |
9392
758.8 IPS |
|
|
Face Detection (SP)
|
100% |
25727
305.7 IPS |
|
|
Face Detection (HP)
|
100% |
42626
506.5 IPS |
|
|
Face Detection (Q)
|
97% |
22728
271.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
49920
384.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
101936
785.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
39801
318.2 IPS |
|
|
Style Transfer (SP)
|
100% |
153405
197.2 IPS |
|
|
Style Transfer (HP)
|
100% |
526475
676.8 IPS |
|
|
Style Transfer (Q)
|
98% |
129295
166.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28689
1.06 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
56956
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22287
825.3 IPS |
|
|
Text Classification (SP)
|
100% |
3643
4.86 KIPS |
|
|
Text Classification (HP)
|
100% |
4460
5.95 KIPS |
|
|
Text Classification (Q)
|
97% |
2253
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
4245
73.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4463
76.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1852
34.7 IPS |
