Micro-Star International Co., Ltd. MS-7D67
Geekbench AI Score
5837
Single Precision Score
2386
Half Precision Score
9828
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | zoomos |
| Upload Date | April 05 2025 05:49 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D67 |
| Motherboard | Micro-Star International Co., Ltd. PRO X670-P WIFI (MS-7D67) |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4988
927.6 IPS |
|
|
Image Classification (HP)
|
100% |
894
166.2 IPS |
|
|
Image Classification (Q)
|
99% |
9921
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2564
41.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1210
19.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4546
73.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9249
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
7729
9.02 IPS |
|
|
Pose Estimation (Q)
|
94% |
31302
36.7 IPS |
|
|
Object Detection (SP)
|
100% |
4659
369.5 IPS |
|
|
Object Detection (HP)
|
100% |
1126
89.3 IPS |
|
|
Object Detection (Q)
|
86% |
10273
825.6 IPS |
|
|
Face Detection (SP)
|
100% |
10233
121.6 IPS |
|
|
Face Detection (HP)
|
100% |
2532
30.1 IPS |
|
|
Face Detection (Q)
|
97% |
11984
142.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12119
93.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3354
25.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
20127
160.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22819
29.3 IPS |
|
|
Style Transfer (HP)
|
100% |
18647
24.0 IPS |
|
|
Style Transfer (Q)
|
98% |
34886
45.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3910
144.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3233
119.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5048
186.9 IPS |
|
|
Text Classification (SP)
|
100% |
2160
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
1112
1.48 KIPS |
|
|
Text Classification (Q)
|
97% |
2341
3.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3486
60.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1116
19.2 IPS |
|
|
Machine Translation (Q)
|
65% |
5831
117.2 IPS |
