Micro-Star International Co., Ltd. MS-7B86
Geekbench AI Score
3783
Single Precision Score
961
Half Precision Score
4724
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | vanv101 |
| Upload Date | November 28 2024 04:42 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | Micro-Star International Co., Ltd. MS-7B86 |
| Motherboard | Micro-Star International Co., Ltd. B550 GAMING GEN3 (MS-7B86) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 5.27 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 46.96 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1916
356.2 IPS |
|
|
Image Classification (HP)
|
100% |
213
39.6 IPS |
|
|
Image Classification (Q)
|
93% |
3800
710.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1904
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
349
5.66 IPS |
|
|
Image Segmentation (Q)
|
98% |
2931
47.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11373
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
6905
8.06 IPS |
|
|
Pose Estimation (Q)
|
87% |
21384
25.3 IPS |
|
|
Object Detection (SP)
|
100% |
2321
184.1 IPS |
|
|
Object Detection (HP)
|
100% |
287
22.8 IPS |
|
|
Object Detection (Q)
|
86% |
2076
166.9 IPS |
|
|
Face Detection (SP)
|
100% |
2710
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
430
5.11 IPS |
|
|
Face Detection (Q)
|
96% |
4996
59.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8754
67.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1302
10.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
7667
61.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23466
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
19074
24.5 IPS |
|
|
Style Transfer (Q)
|
87% |
19579
25.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3138
115.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1562
57.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3094
114.6 IPS |
|
|
Text Classification (SP)
|
100% |
1405
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
458
611.6 IPS |
|
|
Text Classification (Q)
|
97% |
1518
2.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2544
43.8 IPS |
|
|
Machine Translation (HP)
|
100% |
598
10.3 IPS |
|
|
Machine Translation (Q)
|
60% |
3180
70.9 IPS |
