Micro-Star International Co., Ltd. MS-7D67
Geekbench AI Score
6905
Single Precision Score
1293
Half Precision Score
12080
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | kana |
| Upload Date | April 26 2025 11:16 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Manjaro Linux |
| Model | Micro-Star International Co., Ltd. MS-7D67 |
| Motherboard | Micro-Star International Co., Ltd. PRO X670-P WIFI (MS-7D67) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 5.27 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 60.43 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4156
772.9 IPS |
|
|
Image Classification (HP)
|
100% |
244
45.4 IPS |
|
|
Image Classification (Q)
|
97% |
13196
2.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3172
51.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
455
7.38 IPS |
|
|
Image Segmentation (Q)
|
99% |
4179
67.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
14786
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
10312
12.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
51194
60.0 IPS |
|
|
Object Detection (SP)
|
100% |
4949
392.6 IPS |
|
|
Object Detection (HP)
|
100% |
336
26.7 IPS |
|
|
Object Detection (Q)
|
86% |
14864
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
8052
95.7 IPS |
|
|
Face Detection (HP)
|
100% |
473
5.62 IPS |
|
|
Face Detection (Q)
|
97% |
26413
314.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13403
103.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1525
11.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
26853
214.3 IPS |
|
|
Style Transfer (SP)
|
100% |
34827
44.8 IPS |
|
|
Style Transfer (HP)
|
100% |
24804
31.9 IPS |
|
|
Style Transfer (Q)
|
98% |
30727
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4294
158.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3758
138.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5027
186.1 IPS |
|
|
Text Classification (SP)
|
100% |
3260
4.35 KIPS |
|
|
Text Classification (HP)
|
100% |
658
877.7 IPS |
|
|
Text Classification (Q)
|
97% |
2327
3.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
4861
83.7 IPS |
|
|
Machine Translation (HP)
|
100% |
773
13.3 IPS |
|
|
Machine Translation (Q)
|
65% |
6190
124.4 IPS |
