Micro-Star International Co., Ltd. MS-7B86
Geekbench AI Score
6506
Single Precision Score
6880
Half Precision Score
11370
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | vanv101 |
| Upload Date | November 28 2024 04:46 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X 16-Core Processor |
| 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% |
4372
813.0 IPS |
|
|
Image Classification (HP)
|
100% |
4376
813.8 IPS |
|
|
Image Classification (Q)
|
100% |
7197
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2116
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3364
54.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7069
114.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11222
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
11414
13.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
24344
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
4520
358.5 IPS |
|
|
Object Detection (HP)
|
100% |
4511
357.8 IPS |
|
|
Object Detection (Q)
|
87% |
7755
622.0 IPS |
|
|
Face Detection (SP)
|
100% |
10406
123.6 IPS |
|
|
Face Detection (HP)
|
100% |
11134
132.3 IPS |
|
|
Face Detection (Q)
|
97% |
23281
277.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12461
96.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
12357
95.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
24012
189.5 IPS |
|
|
Style Transfer (SP)
|
100% |
31809
40.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32188
41.4 IPS |
|
|
Style Transfer (Q)
|
98% |
69280
89.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6280
231.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6306
232.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
13054
483.5 IPS |
|
|
Text Classification (SP)
|
100% |
2366
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
2369
3.16 KIPS |
|
|
Text Classification (Q)
|
91% |
1565
2.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
4731
81.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4744
81.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4755
81.9 IPS |
