Micro-Star International Co., Ltd. MS-7D77
Geekbench AI Score
3240
Single Precision Score
1580
Half Precision Score
7385
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 21 2025 05:48 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7600X |
| 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% |
2466
458.7 IPS |
|
|
Image Classification (HP)
|
100% |
596
110.9 IPS |
|
|
Image Classification (Q)
|
99% |
6562
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1276
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
857
13.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3548
57.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4010
4.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
3497
4.08 IPS |
|
|
Pose Estimation (Q)
|
94% |
20130
23.6 IPS |
|
|
Object Detection (SP)
|
100% |
2128
168.8 IPS |
|
|
Object Detection (HP)
|
100% |
768
60.9 IPS |
|
|
Object Detection (Q)
|
86% |
7109
571.3 IPS |
|
|
Face Detection (SP)
|
100% |
5833
69.3 IPS |
|
|
Face Detection (HP)
|
100% |
1829
21.7 IPS |
|
|
Face Detection (Q)
|
97% |
9716
115.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6056
46.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2359
18.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
17104
136.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11149
14.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10254
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
24315
31.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2491
92.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1824
67.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3734
138.3 IPS |
|
|
Text Classification (SP)
|
100% |
1934
2.58 KIPS |
|
|
Text Classification (HP)
|
100% |
964
1.29 KIPS |
|
|
Text Classification (Q)
|
97% |
2226
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
2507
43.2 IPS |
|
|
Machine Translation (HP)
|
100% |
914
15.7 IPS |
|
|
Machine Translation (Q)
|
65% |
4317
86.7 IPS |
