Micro-Star International Co., Ltd. MS-7D77
Geekbench AI Score
19311
Single Precision Score
35361
Half Precision Score
15015
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | August 22 2025 08:49 AM |
| Views | 4 |
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 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% |
8029
1.49 KIPS |
|
|
Image Classification (HP)
|
100% |
14736
2.74 KIPS |
|
|
Image Classification (Q)
|
99% |
7192
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12960
210.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19098
309.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
12141
197.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
97934
114.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
303584
354.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
81746
95.8 IPS |
|
|
Object Detection (SP)
|
100% |
10511
833.8 IPS |
|
|
Object Detection (HP)
|
100% |
17346
1.38 KIPS |
|
|
Object Detection (Q)
|
83% |
9075
733.2 IPS |
|
|
Face Detection (SP)
|
100% |
24665
293.1 IPS |
|
|
Face Detection (HP)
|
100% |
40980
486.9 IPS |
|
|
Face Detection (Q)
|
97% |
22042
262.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
47483
365.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
101030
778.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
38484
307.7 IPS |
|
|
Style Transfer (SP)
|
100% |
146876
188.8 IPS |
|
|
Style Transfer (HP)
|
100% |
514650
661.6 IPS |
|
|
Style Transfer (Q)
|
98% |
124449
160.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27925
1.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53870
1.99 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21841
808.7 IPS |
|
|
Text Classification (SP)
|
100% |
3338
4.46 KIPS |
|
|
Text Classification (HP)
|
100% |
4093
5.46 KIPS |
|
|
Text Classification (Q)
|
97% |
2137
2.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
4201
72.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4391
75.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1826
34.2 IPS |
