Micro-Star International Co., Ltd. MS-7B79
Geekbench AI Score
1137
Single Precision Score
410
Half Precision Score
1473
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | SiggiTron |
| Upload Date | May 14 2025 11:07 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 2700X |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | Micro-Star International Co., Ltd. MS-7B79 |
| Motherboard | Micro-Star International Co., Ltd. X470 GAMING PRO (MS-7B79) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 2700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
431
80.1 IPS |
|
|
Image Classification (HP)
|
100% |
89
16.6 IPS |
|
|
Image Classification (Q)
|
94% |
757
141.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
580
9.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
146
2.37 IPS |
|
|
Image Segmentation (Q)
|
98% |
799
13.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1561
1.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
1646
1.92 IPS |
|
|
Pose Estimation (Q)
|
86% |
2767
3.27 IPS |
|
|
Object Detection (SP)
|
100% |
905
71.8 IPS |
|
|
Object Detection (HP)
|
100% |
128
10.1 IPS |
|
|
Object Detection (Q)
|
58% |
650
71.1 IPS |
|
|
Face Detection (SP)
|
100% |
924
11.0 IPS |
|
|
Face Detection (HP)
|
100% |
191
2.27 IPS |
|
|
Face Detection (Q)
|
96% |
3061
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1528
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
613
4.73 IPS |
|
|
Depth Estimation (Q)
|
78% |
3511
28.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7064
9.08 IPS |
|
|
Style Transfer (HP)
|
100% |
6262
8.05 IPS |
|
|
Style Transfer (Q)
|
87% |
5847
7.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1161
42.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
909
33.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1068
39.6 IPS |
|
|
Text Classification (SP)
|
100% |
822
1.10 KIPS |
|
|
Text Classification (HP)
|
100% |
256
342.1 IPS |
|
|
Text Classification (Q)
|
97% |
585
783.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1077
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
290
5.00 IPS |
|
|
Machine Translation (Q)
|
68% |
1133
21.9 IPS |
