Micro-Star International Co., Ltd. MS-7C56
Geekbench AI Score
7160
Single Precision Score
7163
Half Precision Score
12011
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | m8118 |
| Upload Date | October 11 2024 11:46 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | Micro-Star International Co., Ltd. MS-7C56 |
| Motherboard | Micro-Star International Co., Ltd. MPG B550 GAMING PLUS (MS-7C56) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 5.08 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4821
896.6 IPS |
|
|
Image Classification (HP)
|
100% |
4846
901.3 IPS |
|
|
Image Classification (Q)
|
100% |
7550
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1554
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1580
25.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
5397
87.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13763
16.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
13780
16.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
28939
33.9 IPS |
|
|
Object Detection (SP)
|
100% |
5040
399.7 IPS |
|
|
Object Detection (HP)
|
100% |
5087
403.5 IPS |
|
|
Object Detection (Q)
|
87% |
8230
660.0 IPS |
|
|
Face Detection (SP)
|
100% |
12654
150.4 IPS |
|
|
Face Detection (HP)
|
100% |
12551
149.1 IPS |
|
|
Face Detection (Q)
|
97% |
25181
300.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
14332
110.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
14276
110.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
26604
210.0 IPS |
|
|
Style Transfer (SP)
|
100% |
38228
49.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38295
49.2 IPS |
|
|
Style Transfer (Q)
|
98% |
81323
104.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7314
270.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7341
271.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
13936
516.2 IPS |
|
|
Text Classification (SP)
|
100% |
2576
3.44 KIPS |
|
|
Text Classification (HP)
|
100% |
2570
3.43 KIPS |
|
|
Text Classification (Q)
|
91% |
1630
2.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
5219
89.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5123
88.2 IPS |
|
|
Machine Translation (Q)
|
100% |
5203
89.6 IPS |
