Micro-Star International Co., Ltd. MS-7D77
Geekbench AI Score
19325
Single Precision Score
34844
Half Precision Score
15046
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 21 2025 05:50 AM |
| Views | 2 |
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 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% |
7939
1.48 KIPS |
|
|
Image Classification (HP)
|
100% |
14395
2.68 KIPS |
|
|
Image Classification (Q)
|
99% |
7138
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13074
211.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19110
309.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
12206
198.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
99100
115.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
301538
351.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
83152
97.4 IPS |
|
|
Object Detection (SP)
|
100% |
10492
832.3 IPS |
|
|
Object Detection (HP)
|
100% |
16941
1.34 KIPS |
|
|
Object Detection (Q)
|
83% |
9056
731.7 IPS |
|
|
Face Detection (SP)
|
100% |
25361
301.3 IPS |
|
|
Face Detection (HP)
|
100% |
41398
491.9 IPS |
|
|
Face Detection (Q)
|
97% |
22285
265.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
48553
374.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
97825
753.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
39124
312.8 IPS |
|
|
Style Transfer (SP)
|
100% |
150297
193.2 IPS |
|
|
Style Transfer (HP)
|
100% |
507416
652.3 IPS |
|
|
Style Transfer (Q)
|
98% |
127983
165.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27458
1.01 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52636
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21441
793.9 IPS |
|
|
Text Classification (SP)
|
100% |
3109
4.15 KIPS |
|
|
Text Classification (HP)
|
100% |
3757
5.01 KIPS |
|
|
Text Classification (Q)
|
97% |
2048
2.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
4262
73.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4620
79.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1850
34.7 IPS |
